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    <title>Women in Data Podcast</title>
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    <description>Welcome to the Women in Data Podcast, where every other week your host, Karen Jean-Francois interviews some of the most inspiring women working in data. Through each episode, they share their invaluable experience and knowledge. Leaving no stone unturned, the WiD Podcast series will provide you with information on the use of data in various industries, plus helpful tips for career development.  More importantly, it will enable you to become the data professional you want to be.</description>
    <pubDate>Tue, 31 Mar 2026 06:36:00 +0200</pubDate>
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        <copyright>Copyright 2020 All rights reserved.</copyright>
    <category>Technology</category>
    <ttl>1440</ttl>
    <itunes:type>episodic</itunes:type>
          <itunes:summary>Welcome to the Women in Data Podcast, where every other week your host, Karen Jean-Francois interviews some of the most inspiring women working in data. Through each episode, they share their invaluable experience and knowledge. Leaving no stone unturned, the WiD Podcast series will provide you with information on the use of data in various industries, plus helpful tips for career development.  More importantly, it will enable you to become the data professional you want to be.</itunes:summary>
        <itunes:author>womenindata</itunes:author>
<itunes:category text="Technology" />
	<itunes:category text="Business">
		<itunes:category text="Careers" />
	</itunes:category>
    <itunes:owner>
        <itunes:name>womenindata</itunes:name>
            </itunes:owner>
    	<itunes:block>No</itunes:block>
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        <title>Women in Data Podcast</title>
        <link>https://womenindata.podbean.com</link>
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    <item>
        <title>Ep.156 - How to Use AI Without Losing Your Edge</title>
        <itunes:title>Ep.156 - How to Use AI Without Losing Your Edge</itunes:title>
        <link>https://womenindata.podbean.com/e/ep156-how-to-use-ai-without-losing-your-edge/</link>
                    <comments>https://womenindata.podbean.com/e/ep156-how-to-use-ai-without-losing-your-edge/#comments</comments>        <pubDate>Tue, 31 Mar 2026 06:36:00 +0200</pubDate>
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                                    <description><![CDATA[<p>Are we becoming worse at our jobs because we use AI?</p>
<p>It’s a question so many of us are quietly asking. If AI can write the code, summarise the findings, build the deck… are we still building our skills, or slowly outsourcing them?</p>
<p>In this episode, I sit down with AI researcher Nora Petrova to unpack the guilt, the anxiety, and the real risk behind AI tools. But instead of fear-mongering, we focus on something practical: how to use AI as a learning accelerator.</p>
<p>Nora shares a simple but powerful framework:</p>
<ul>
<li style="font-weight:400;">Stay in the driver’s seat</li>
<li style="font-weight:400;">Never outsource what you don’t understand</li>
<li style="font-weight:400;">Use AI to invest in yourself, not automate yourself</li>
<li style="font-weight:400;">Test whether you’re actually learning (or just feeling productive)

</li>
</ul>
<p>We also talk about the illusion of learning, the difference between junior and senior professionals in this new landscape, and how to navigate uncertainty without spiralling.</p>
<p>If you want to use AI confidently without losing your edge this episode is for you.</p>
<p>Tune in and rethink how you’re using AI today.</p>
<p> Nora recommends to also watch: <a href='https://youtu.be/z3kaLM8Oj4o?si=Jr9amKNncuE4egKi'>https://youtu.be/z3kaLM8Oj4o?si=Jr9amKNncuE4egKi</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Are we becoming worse at our jobs because we use AI?</p>
<p>It’s a question so many of us are quietly asking. If AI can write the code, summarise the findings, build the deck… are we still building our skills, or slowly outsourcing them?</p>
<p>In this episode, I sit down with AI researcher Nora Petrova to unpack the guilt, the anxiety, and the real risk behind AI tools. But instead of fear-mongering, we focus on something practical: how to use AI as a learning accelerator.</p>
<p>Nora shares a simple but powerful framework:</p>
<ul>
<li style="font-weight:400;">Stay in the driver’s seat</li>
<li style="font-weight:400;">Never outsource what you don’t understand</li>
<li style="font-weight:400;">Use AI to invest in yourself, not automate yourself</li>
<li style="font-weight:400;">Test whether you’re actually learning (or just feeling productive)<br>
<br>
</li>
</ul>
<p>We also talk about the illusion of learning, the difference between junior and senior professionals in this new landscape, and how to navigate uncertainty without spiralling.</p>
<p>If you want to use AI confidently without losing your edge this episode is for you.</p>
<p>Tune in and rethink how you’re using AI today.</p>
<p> Nora recommends to also watch: <a href='https://youtu.be/z3kaLM8Oj4o?si=Jr9amKNncuE4egKi'>https://youtu.be/z3kaLM8Oj4o?si=Jr9amKNncuE4egKi</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/zki3jmg9gnsgcx69/Ep156_-_How_to_Use_AI_Without_Losing_Your_Edge7jp5g.mp3" length="23231266" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Are we becoming worse at our jobs because we use AI?
It’s a question so many of us are quietly asking. If AI can write the code, summarise the findings, build the deck… are we still building our skills, or slowly outsourcing them?
In this episode, I sit down with AI researcher Nora Petrova to unpack the guilt, the anxiety, and the real risk behind AI tools. But instead of fear-mongering, we focus on something practical: how to use AI as a learning accelerator.
Nora shares a simple but powerful framework:

Stay in the driver’s seat
Never outsource what you don’t understand
Use AI to invest in yourself, not automate yourself
Test whether you’re actually learning (or just feeling productive)

We also talk about the illusion of learning, the difference between junior and senior professionals in this new landscape, and how to navigate uncertainty without spiralling.
If you want to use AI confidently without losing your edge this episode is for you.
Tune in and rethink how you’re using AI today.
 Nora recommends to also watch: https://youtu.be/z3kaLM8Oj4o?si=Jr9amKNncuE4egKi]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1399</itunes:duration>
                <itunes:episode>158</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep. 155 - Questioning Your Career in Data Could be your Secret Superpower</title>
        <itunes:title>Ep. 155 - Questioning Your Career in Data Could be your Secret Superpower</itunes:title>
        <link>https://womenindata.podbean.com/e/ep-155-questioning-your-career-in-data-could-be-your-secret-superpower/</link>
                    <comments>https://womenindata.podbean.com/e/ep-155-questioning-your-career-in-data-could-be-your-secret-superpower/#comments</comments>        <pubDate>Tue, 17 Mar 2026 05:27:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/06df8c1f-e231-325f-9dd8-c0af22e51d06</guid>
                                    <description><![CDATA[In this cohosted episode Karen and Cecilia reflect on questioning their careers in data from imposter syndrome and leadership doubts to navigating fast-moving industry change. They challenge the idea that seniority brings certainty, instead considering how ambiguity is constant and self-questioning can be an advantage. The conversation explores resilience, shifting environments, and detaching identity from job titles. They share a practical framework for gaining clarity: reflecting on strengths, tracking interests, learning from past roles, reality-checking through conversation, and defining what to start, stop, and continue—emphasising growth is an ongoing, imperfect process.
]]></description>
                                                            <content:encoded><![CDATA[In this cohosted episode Karen and Cecilia reflect on questioning their careers in data from imposter syndrome and leadership doubts to navigating fast-moving industry change. They challenge the idea that seniority brings certainty, instead considering how ambiguity is constant and self-questioning can be an advantage. The conversation explores resilience, shifting environments, and detaching identity from job titles. They share a practical framework for gaining clarity: reflecting on strengths, tracking interests, learning from past roles, reality-checking through conversation, and defining what to start, stop, and continue—emphasising growth is an ongoing, imperfect process.
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/98nh8iumr9hidda6/Ep_155_-_Questioning_your_Career_in_Data_Could_be_your_Secret_Superpower8h3fn.mp3" length="25743575" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this cohosted episode Karen and Cecilia reflect on questioning their careers in data from imposter syndrome and leadership doubts to navigating fast-moving industry change. They challenge the idea that seniority brings certainty, instead considering how ambiguity is constant and self-questioning can be an advantage. The conversation explores resilience, shifting environments, and detaching identity from job titles. They share a practical framework for gaining clarity: reflecting on strengths, tracking interests, learning from past roles, reality-checking through conversation, and defining what to start, stop, and continue—emphasising growth is an ongoing, imperfect process.
]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1890</itunes:duration>
                <itunes:episode>157</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.154 - How to Get Hired, Promoted &amp; Paid What You Deserve as a Woman</title>
        <itunes:title>Ep.154 - How to Get Hired, Promoted &amp; Paid What You Deserve as a Woman</itunes:title>
        <link>https://womenindata.podbean.com/e/ep154-how-to-get-hired-promoted-paid-what-you-deserve-as-a-woman/</link>
                    <comments>https://womenindata.podbean.com/e/ep154-how-to-get-hired-promoted-paid-what-you-deserve-as-a-woman/#comments</comments>        <pubDate>Tue, 03 Mar 2026 05:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/a45be888-c819-3444-9ae6-556e1a979251</guid>
                                    <description><![CDATA[<p>The hiring system carries bias, and it shows. While efforts are made to solve this, it’s important that we take ownership of our own career.</p>
<p>In this episode, Karen is joined by Nuria Muñoz, Global Talent Leader at Munich Re, to unpack what really happens behind the scenes in hiring, promotions and pay decisions.</p>
<p>They talk about why job descriptions are wish lists, why being a perfect match is actually a red flag, bold interview questions that change the dynamic, and how to handle high-pressure interviews with confidence. Nuria also shares negotiation strategies for salary offers and for promotions. For her, treating your career like a business plan is essential.</p>
<p>If you’ve ever hesitated to apply, struggled to negotiate, or wondered how to fast track your growth, this conversation is your playbook.</p>
<p>You don’t need permission to grow. You need strategy.</p>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>The hiring system carries bias, and it shows. While efforts are made to solve this, it’s important that we take ownership of our own career.</p>
<p>In this episode, Karen is joined by Nuria Muñoz, Global Talent Leader at Munich Re, to unpack what really happens behind the scenes in hiring, promotions and pay decisions.</p>
<p>They talk about why job descriptions are wish lists, why being a perfect match is actually a red flag, bold interview questions that change the dynamic, and how to handle high-pressure interviews with confidence. Nuria also shares negotiation strategies for salary offers and for promotions. For her, treating your career like a business plan is essential.</p>
<p>If you’ve ever hesitated to apply, struggled to negotiate, or wondered how to fast track your growth, this conversation is your playbook.</p>
<p>You don’t need permission to grow. You need strategy.</p>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/jftizcsp8dairmha/Ep154_-_How_to_Get_Hired_Promoted_and_Paid_What_You_Deserve_as_a_Woman94okp.mp3" length="30532040" type="audio/mpeg"/>
        <itunes:summary><![CDATA[The hiring system carries bias, and it shows. While efforts are made to solve this, it’s important that we take ownership of our own career.
In this episode, Karen is joined by Nuria Muñoz, Global Talent Leader at Munich Re, to unpack what really happens behind the scenes in hiring, promotions and pay decisions.
They talk about why job descriptions are wish lists, why being a perfect match is actually a red flag, bold interview questions that change the dynamic, and how to handle high-pressure interviews with confidence. Nuria also shares negotiation strategies for salary offers and for promotions. For her, treating your career like a business plan is essential.
If you’ve ever hesitated to apply, struggled to negotiate, or wondered how to fast track your growth, this conversation is your playbook.
You don’t need permission to grow. You need strategy.
 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1873</itunes:duration>
                <itunes:episode>156</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep. 153 - You’re not Failing, you’re new: Starting a new job is hard</title>
        <itunes:title>Ep. 153 - You’re not Failing, you’re new: Starting a new job is hard</itunes:title>
        <link>https://womenindata.podbean.com/e/ep-153-you-re-not-failing-you-re-new-starting-a-new-job-is-hard/</link>
                    <comments>https://womenindata.podbean.com/e/ep-153-you-re-not-failing-you-re-new-starting-a-new-job-is-hard/#comments</comments>        <pubDate>Tue, 17 Feb 2026 06:00:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/9795884c-cdb5-3f2a-b40e-35f7a9228c51</guid>
                                    <description><![CDATA[<p>Starting a new job is meant to feel exciting but often, it’s also tiring, awkward, and quietly overwhelming. Even when it’s the right move.</p>
<p>In this episode of the Women in Data Podcast, Cecilia is joined by Rianna Kelly to talk honestly about what it really feels like to start somewhere new. From confidence wobbling and long hours without visible output, to rebuilding trust, navigating new relationships, and feeling like the “new person” all over again, even at a senior level.</p>
<p>This isn’t a “how to succeed in 30 days” conversation. It’s about normalising the discomfort, redefining progress in the early months, and learning when to push yourself and when to give yourself grace.</p>
<p>If you’re in a new role, about to start one, or wondering why you don’t feel settled yet, this episode is a reminder that you’re not behind you’re in transition.</p>
<p>Further listening:</p>
<p>This episode builds on earlier Women in Data conversations, including Episode 64 with Neha Wadhawan on establishing yourself in a new role, and Episode 146 with Beth Bauer on the data behind the care.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Starting a new job is meant to feel exciting but often, it’s also tiring, awkward, and quietly overwhelming. Even when it’s the right move.</p>
<p>In this episode of the Women in Data Podcast, Cecilia is joined by Rianna Kelly to talk honestly about what it <em>really</em> feels like to start somewhere new. From confidence wobbling and long hours without visible output, to rebuilding trust, navigating new relationships, and feeling like the “new person” all over again, even at a senior level.</p>
<p>This isn’t a “how to succeed in 30 days” conversation. It’s about normalising the discomfort, redefining progress in the early months, and learning when to push yourself and when to give yourself grace.</p>
<p>If you’re in a new role, about to start one, or wondering why you don’t feel settled <em>yet</em>, this episode is a reminder that you’re not behind you’re in transition.</p>
<p>Further listening:</p>
<p>This episode builds on earlier Women in Data conversations, including Episode 64 with Neha Wadhawan on establishing yourself in a new role, and Episode 146 with Beth Bauer on the data behind the care.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/miv6i6m3dmsgabk2/Ep153_-_Rianna_Kellyb2dnt.mp3" length="27311126" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Starting a new job is meant to feel exciting but often, it’s also tiring, awkward, and quietly overwhelming. Even when it’s the right move.
In this episode of the Women in Data Podcast, Cecilia is joined by Rianna Kelly to talk honestly about what it really feels like to start somewhere new. From confidence wobbling and long hours without visible output, to rebuilding trust, navigating new relationships, and feeling like the “new person” all over again, even at a senior level.
This isn’t a “how to succeed in 30 days” conversation. It’s about normalising the discomfort, redefining progress in the early months, and learning when to push yourself and when to give yourself grace.
If you’re in a new role, about to start one, or wondering why you don’t feel settled yet, this episode is a reminder that you’re not behind you’re in transition.
Further listening:
This episode builds on earlier Women in Data conversations, including Episode 64 with Neha Wadhawan on establishing yourself in a new role, and Episode 146 with Beth Bauer on the data behind the care.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1638</itunes:duration>
                <itunes:episode>155</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep. 152 - AI Vs My Job</title>
        <itunes:title>Ep. 152 - AI Vs My Job</itunes:title>
        <link>https://womenindata.podbean.com/e/ep-152-ai-vs-my-job/</link>
                    <comments>https://womenindata.podbean.com/e/ep-152-ai-vs-my-job/#comments</comments>        <pubDate>Tue, 03 Feb 2026 06:30:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/9169cdf6-9c56-3ccd-b996-d6ee5a862302</guid>
                                    <description><![CDATA[<p>In this episode of the Women in Data Podcast, hosts Cecilia Oliveira and Karen Jean-Francois pull back the curtain on the "dirty little secret" of the data world: exactly how they are using AI to change the way they work.</p>
<p>Moving past the headlines and the hype, Cecilia and Karen share a vulnerable look at their initial skepticism and how they shifted toward an "Augmentation Mindset." They dive into the practicalities of using AI as a junior collaborator—from cleaning messy data and writing SQL to the "meta" moment of using AI to help structure this very podcast episode.</p>
<p>Whether you're feeling "productivity guilt" or pure curiosity, this episode is a guide to making AI work for you, so you can focus on the work only you can do.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode of the <em>Women in Data Podcast</em>, hosts Cecilia Oliveira and Karen Jean-Francois pull back the curtain on the "dirty little secret" of the data world: exactly how they are using AI to change the way they work.</p>
<p>Moving past the headlines and the hype, Cecilia and Karen share a vulnerable look at their initial skepticism and how they shifted toward an "Augmentation Mindset." They dive into the practicalities of using AI as a junior collaborator—from cleaning messy data and writing SQL to the "meta" moment of using AI to help structure this very podcast episode.</p>
<p>Whether you're feeling "productivity guilt" or pure curiosity, this episode is a guide to making AI work for you, so you can focus on the work only <em>you</em> can do.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/in9n7jvdw9v25hbf/Ep152_AI_vs_My_Job_for_podbean9twfi.mp3" length="29638656" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode of the Women in Data Podcast, hosts Cecilia Oliveira and Karen Jean-Francois pull back the curtain on the "dirty little secret" of the data world: exactly how they are using AI to change the way they work.
Moving past the headlines and the hype, Cecilia and Karen share a vulnerable look at their initial skepticism and how they shifted toward an "Augmentation Mindset." They dive into the practicalities of using AI as a junior collaborator—from cleaning messy data and writing SQL to the "meta" moment of using AI to help structure this very podcast episode.
Whether you're feeling "productivity guilt" or pure curiosity, this episode is a guide to making AI work for you, so you can focus on the work only you can do.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1741</itunes:duration>
                <itunes:episode>154</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.151 - How Data Leaders Build Influence Without Authority</title>
        <itunes:title>Ep.151 - How Data Leaders Build Influence Without Authority</itunes:title>
        <link>https://womenindata.podbean.com/e/ep151-how-data-leaders-build-influence-without-authority/</link>
                    <comments>https://womenindata.podbean.com/e/ep151-how-data-leaders-build-influence-without-authority/#comments</comments>        <pubDate>Tue, 20 Jan 2026 05:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/092dfb33-dc37-384d-8f59-97f6ee1ca7ec</guid>
                                    <description><![CDATA[<p>In this episode, Karen is joined by Kinnari Ladha, Chief Data Officer, to explore why great data work often fails to land — and how communication turns data leaders into trusted influencers, making it their superpower. </p>
<p> </p>
<p>Drawing on over two decades in data—from hands-on analyst to executive leader—Kinnari shares candid stories of building “perfect” dashboards that didn’t get used, and how those moments reshaped her approach to leadership.</p>
<p> </p>
<p>She explains why career progression in data requires doing more work bringing people along, how tailoring messages to different audiences and shifting from reporting to storytelling changes impact, and why focusing on outcomes — not outputs — transforms how data is valued.</p>
<p> </p>
<p>The conversation also dives into the role of trust in influence: how small, consistent actions build credibility, why listening comes before strategy, and how data teams can move from being seen as service providers to true business partners. With practical habits like weekly “highs and lows” and reframing data in business language, this episode is packed with insights you can apply straight away.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Karen is joined by Kinnari Ladha, Chief Data Officer, to explore why great data work often fails to land — and how communication turns data leaders into trusted influencers, making it their superpower. </p>
<p> </p>
<p>Drawing on over two decades in data—from hands-on analyst to executive leader—Kinnari shares candid stories of building “perfect” dashboards that didn’t get used, and how those moments reshaped her approach to leadership.</p>
<p> </p>
<p>She explains why career progression in data requires doing more work bringing people along, how tailoring messages to different audiences and shifting from reporting to storytelling changes impact, and why focusing on outcomes — not outputs — transforms how data is valued.</p>
<p> </p>
<p>The conversation also dives into the role of trust in influence: how small, consistent actions build credibility, why listening comes before strategy, and how data teams can move from being seen as service providers to true business partners. With practical habits like weekly “highs and lows” and reframing data in business language, this episode is packed with insights you can apply straight away.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/rdyhbmbeucfwgtci/Ep151_-_How_Data_Leaders_Build_Influence_Without_Authority8udu0.mp3" length="26320502" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Karen is joined by Kinnari Ladha, Chief Data Officer, to explore why great data work often fails to land — and how communication turns data leaders into trusted influencers, making it their superpower. 
 
Drawing on over two decades in data—from hands-on analyst to executive leader—Kinnari shares candid stories of building “perfect” dashboards that didn’t get used, and how those moments reshaped her approach to leadership.
 
She explains why career progression in data requires doing more work bringing people along, how tailoring messages to different audiences and shifting from reporting to storytelling changes impact, and why focusing on outcomes — not outputs — transforms how data is valued.
 
The conversation also dives into the role of trust in influence: how small, consistent actions build credibility, why listening comes before strategy, and how data teams can move from being seen as service providers to true business partners. With practical habits like weekly “highs and lows” and reframing data in business language, this episode is packed with insights you can apply straight away.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1757</itunes:duration>
                <itunes:episode>153</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.150 - Four Mindsets to Set You Up for a Successful Year</title>
        <itunes:title>Ep.150 - Four Mindsets to Set You Up for a Successful Year</itunes:title>
        <link>https://womenindata.podbean.com/e/ep150-four-mindsets-to-set-you-up-for-a-successful-year/</link>
                    <comments>https://womenindata.podbean.com/e/ep150-four-mindsets-to-set-you-up-for-a-successful-year/#comments</comments>        <pubDate>Tue, 06 Jan 2026 05:30:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/1f65e98e-d973-3f88-b9f1-2756e722a36d</guid>
                                    <description><![CDATA[<p>What if the secret to a successful year was a shift in mindset?</p>
<p>In the first episode of the year on the Women in Data Podcast, Karen is joined by Seana Tomlinson, coach, counsellor, and trainer and coach on the Women in Data LEAP programme, to explore four mindsets that can set you up for a more confident, authentic, and sustainable year.</p>
<p>After 18 years in the corporate world, Seana built a portfolio career that truly works for her and her family. On the podcast, she shares her key learnings to help you start the year with clarity and intention. Together, they discuss why confidence isn’t fixed, why authenticity matters more than imitation, how resilience goes far beyond “pushing through,” and how work–life balance evolves across different seasons of life.</p>
<p>This episode offers practical reflections on:</p>
<ul>
<li style="font-weight:400;">Building confidence before you feel ready</li>
<li style="font-weight:400;">Leading and showing up as yourself</li>
<li style="font-weight:400;">Strengthening resilience without burning out</li>
<li style="font-weight:400;">Creating balance that works for you, right now

</li>
</ul>
<p>If you’re ready to start the year with self-belief, clarity, and intention, this conversation will help you lay the foundations for a successful year.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>What if the secret to a successful year was a shift in mindset?</p>
<p>In the first episode of the year on the <em>Women in Data Podcast</em>, Karen is joined by Seana Tomlinson, coach, counsellor, and trainer and coach on the Women in Data LEAP programme, to explore four mindsets that can set you up for a more confident, authentic, and sustainable year.</p>
<p>After 18 years in the corporate world, Seana built a portfolio career that truly works for her and her family. On the podcast, she shares her key learnings to help you start the year with clarity and intention. Together, they discuss why confidence isn’t fixed, why authenticity matters more than imitation, how resilience goes far beyond “pushing through,” and how work–life balance evolves across different seasons of life.</p>
<p>This episode offers practical reflections on:</p>
<ul>
<li style="font-weight:400;">Building confidence before you feel ready</li>
<li style="font-weight:400;">Leading and showing up as yourself</li>
<li style="font-weight:400;">Strengthening resilience without burning out</li>
<li style="font-weight:400;">Creating balance that works for you, right now<br>
<br>
</li>
</ul>
<p>If you’re ready to start the year with self-belief, clarity, and intention, this conversation will help you lay the foundations for a successful year.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/n2t86vz25tefsc4b/Ep150_-_Four_Mindsets_to_Set_You_Up_for_a_Successful_Year927ny.mp3" length="21034619" type="audio/mpeg"/>
        <itunes:summary><![CDATA[What if the secret to a successful year was a shift in mindset?
In the first episode of the year on the Women in Data Podcast, Karen is joined by Seana Tomlinson, coach, counsellor, and trainer and coach on the Women in Data LEAP programme, to explore four mindsets that can set you up for a more confident, authentic, and sustainable year.
After 18 years in the corporate world, Seana built a portfolio career that truly works for her and her family. On the podcast, she shares her key learnings to help you start the year with clarity and intention. Together, they discuss why confidence isn’t fixed, why authenticity matters more than imitation, how resilience goes far beyond “pushing through,” and how work–life balance evolves across different seasons of life.
This episode offers practical reflections on:

Building confidence before you feel ready
Leading and showing up as yourself
Strengthening resilience without burning out
Creating balance that works for you, right now

If you’re ready to start the year with self-belief, clarity, and intention, this conversation will help you lay the foundations for a successful year.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1761</itunes:duration>
                <itunes:episode>152</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.149 - Do We Really Need Another Meeting?</title>
        <itunes:title>Ep.149 - Do We Really Need Another Meeting?</itunes:title>
        <link>https://womenindata.podbean.com/e/ep149-do-we-really-need-another-meeting/</link>
                    <comments>https://womenindata.podbean.com/e/ep149-do-we-really-need-another-meeting/#comments</comments>        <pubDate>Tue, 09 Dec 2025 06:30:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/296d09e7-f254-3831-afbc-806405c2fcfb</guid>
                                    <description><![CDATA[<p>Karen and Cecilia tackle a pain point every data professional knows: trying to stay aligned without packing your calendar with even more meetings. From hybrid work and endless notifications to navigating Slack vs. Teams, they explore why the answer isn’t more communication — it’s better communication.</p>
<p>They share real stories, practical strategies, and the tools that actually help: async updates, stand-ups, dashboards, wrap-up messages, and ways to protect your deep-work time. They also reveal the tactics they’re trying next and invite you to share your own.</p>
<p>If you’ve ever left “a meeting to join a meeting about meetings,” this episode is for you.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Karen and Cecilia tackle a pain point every data professional knows: trying to stay aligned without packing your calendar with even more meetings. From hybrid work and endless notifications to navigating Slack vs. Teams, they explore why the answer isn’t <em>more</em> communication — it’s <em>better</em> communication.</p>
<p>They share real stories, practical strategies, and the tools that actually help: async updates, stand-ups, dashboards, wrap-up messages, and ways to protect your deep-work time. They also reveal the tactics they’re trying next and invite you to share your own.</p>
<p>If you’ve ever left “a meeting to join a meeting about meetings,” this episode is for you.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/v6r52arudv89dtxm/Ep149_Cohosted_on_Meetings_-_for_scheduler9tgpj.mp3" length="25594336" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Karen and Cecilia tackle a pain point every data professional knows: trying to stay aligned without packing your calendar with even more meetings. From hybrid work and endless notifications to navigating Slack vs. Teams, they explore why the answer isn’t more communication — it’s better communication.
They share real stories, practical strategies, and the tools that actually help: async updates, stand-ups, dashboards, wrap-up messages, and ways to protect your deep-work time. They also reveal the tactics they’re trying next and invite you to share your own.
If you’ve ever left “a meeting to join a meeting about meetings,” this episode is for you.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1429</itunes:duration>
                <itunes:episode>151</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep. 148 - Startup Speed vs. Corporate Scale: Navigating AI Transformation</title>
        <itunes:title>Ep. 148 - Startup Speed vs. Corporate Scale: Navigating AI Transformation</itunes:title>
        <link>https://womenindata.podbean.com/e/ep-148-startup-speed-vs-corporate-scale-navigating-ai-transformation/</link>
                    <comments>https://womenindata.podbean.com/e/ep-148-startup-speed-vs-corporate-scale-navigating-ai-transformation/#comments</comments>        <pubDate>Tue, 25 Nov 2025 06:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/ca95884e-0691-355c-a9b0-7e97cb4f537b</guid>
                                    <description><![CDATA[<p>Are we getting AI transformation all wrong?</p>
<p>Organisations are racing to adopt AI, but the gap between ambition and execution is wider than ever. In this Women in Data episode, host Cecilia Oliveira speaks with technology leader Saloni Thanki about turning strategy into tangible business outcomes.</p>
<p>Saloni, who advises both nimble startups and global corporates, cuts through the hype to explore the dual realities of AI adoption:</p>
<ul>
<li>
<p>The fast-paced, "defensible moat" challenge for startups.</p>
</li>
<li>
<p>The budget and regulation hurdles for large enterprises.</p>
</li>
</ul>
<p>But the real question isn't about tech; it's about people. Saloni argues that the cultural transformation plan must be an equal priority with the technology plan—or your AI initiative could be set up to fail.</p>
<p>Learn Saloni's practical leadership strategies, including how to define accountability, why to streamline processes before automating, and why AI transformation can create a fear of loss for employees rather than fear of change.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Are we getting AI transformation all wrong?</p>
<p>Organisations are racing to adopt AI, but the gap between ambition and execution is wider than ever. In this Women in Data episode, host Cecilia Oliveira speaks with technology leader Saloni Thanki about turning strategy into tangible business outcomes.</p>
<p>Saloni, who advises both nimble startups and global corporates, cuts through the hype to explore the dual realities of AI adoption:</p>
<ul>
<li>
<p>The fast-paced, "defensible moat" challenge for startups.</p>
</li>
<li>
<p>The budget and regulation hurdles for large enterprises.</p>
</li>
</ul>
<p>But the real question isn't about tech; it's about people. Saloni argues that the cultural transformation plan must be an equal priority with the technology plan—or your AI initiative could be set up to fail.</p>
<p>Learn Saloni's practical leadership strategies, including how to define accountability, why to streamline processes before automating, and why AI transformation can create a fear of loss for employees rather than fear of change.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/ivrcisv56neussys/2025-10-20-t09-10-39am-6096d66e15ef8300bbfdc85c-karenjf_for_uploadap4r9.mp3" length="28076297" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Are we getting AI transformation all wrong?
Organisations are racing to adopt AI, but the gap between ambition and execution is wider than ever. In this Women in Data episode, host Cecilia Oliveira speaks with technology leader Saloni Thanki about turning strategy into tangible business outcomes.
Saloni, who advises both nimble startups and global corporates, cuts through the hype to explore the dual realities of AI adoption:


The fast-paced, "defensible moat" challenge for startups.


The budget and regulation hurdles for large enterprises.


But the real question isn't about tech; it's about people. Saloni argues that the cultural transformation plan must be an equal priority with the technology plan—or your AI initiative could be set up to fail.
Learn Saloni's practical leadership strategies, including how to define accountability, why to streamline processes before automating, and why AI transformation can create a fear of loss for employees rather than fear of change.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2030</itunes:duration>
                <itunes:episode>150</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.147 - Building trust in data &amp; AI: how data observability powers agents</title>
        <itunes:title>Ep.147 - Building trust in data &amp; AI: how data observability powers agents</itunes:title>
        <link>https://womenindata.podbean.com/e/ep147-building-trust-in-data-ai-how-data-observability-powers-agents/</link>
                    <comments>https://womenindata.podbean.com/e/ep147-building-trust-in-data-ai-how-data-observability-powers-agents/#comments</comments>        <pubDate>Tue, 11 Nov 2025 06:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/28e2fbc3-b9e0-3e23-9fd6-e86f5d8fa136</guid>
                                    <description><![CDATA[<p>In this episode, Karen is joined by Barr Moses, CEO and Co-founder of Monte Carlo, to explore how AI agents are transforming how data teams work — and why trust must sit at the heart of every data and AI initiative.</p>
<p> </p>
<p>Barr shares how troubleshooting agents save days of work mimic human reasoning to identify and fix data incidents, how teams can “operationalize trust” in their data and/or AI systems, and what it really takes to bridge the gap between hype and reliable business value.</p>
<p> </p>
<p>Together, they unpack the pressure data teams face to deliver AI quickly, the realities of observability, and why technology alone isn’t enough .</p>
<p> </p>
<p>Whether you’re building AI systems, leading a data function, or simply trying to make sense of the fast-changing landscape, this episode will help you understand what it takes to build data and AI you can trust.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Karen is joined by Barr Moses, CEO and Co-founder of Monte Carlo, to explore how AI agents are transforming how data teams work — and why trust must sit at the heart of every data and AI initiative.</p>
<p> </p>
<p>Barr shares how troubleshooting agents save days of work mimic human reasoning to identify and fix data incidents, how teams can “operationalize trust” in their data and/or AI systems, and what it really takes to bridge the gap between hype and reliable business value.</p>
<p> </p>
<p>Together, they unpack the pressure data teams face to deliver AI quickly, the realities of observability, and why technology alone isn’t enough .</p>
<p> </p>
<p>Whether you’re building AI systems, leading a data function, or simply trying to make sense of the fast-changing landscape, this episode will help you understand what it takes to build data and AI you can trust.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/8ghfagiifx3fazmr/Ep147_-_Building_trust_in_data_and_AI_how_data_observability_powers_agentsb1ap4.mp3" length="25145466" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Karen is joined by Barr Moses, CEO and Co-founder of Monte Carlo, to explore how AI agents are transforming how data teams work — and why trust must sit at the heart of every data and AI initiative.
 
Barr shares how troubleshooting agents save days of work mimic human reasoning to identify and fix data incidents, how teams can “operationalize trust” in their data and/or AI systems, and what it really takes to bridge the gap between hype and reliable business value.
 
Together, they unpack the pressure data teams face to deliver AI quickly, the realities of observability, and why technology alone isn’t enough .
 
Whether you’re building AI systems, leading a data function, or simply trying to make sense of the fast-changing landscape, this episode will help you understand what it takes to build data and AI you can trust.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1892</itunes:duration>
                <itunes:episode>149</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep. 146 - The Data Behind better Care</title>
        <itunes:title>Ep. 146 - The Data Behind better Care</itunes:title>
        <link>https://womenindata.podbean.com/e/ep-146-the-data-behind-better-care/</link>
                    <comments>https://womenindata.podbean.com/e/ep-146-the-data-behind-better-care/#comments</comments>        <pubDate>Tue, 28 Oct 2025 07:00:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/ab719b96-f4bc-374c-9c0c-1d796e3c4100</guid>
                                    <description><![CDATA[In this episode of the Women in Data Podcast, Cecilia chats with Beth Bauer, a healthcare data leader with nearly four decades of experience bringing data, people, and purpose together.
<p>Beth introduces the idea of positive friction — those intentional pauses that invite reflection, discussion, and sometimes disagreement — as a way to make better decisions in healthcare. She explains how this approach helps achieve the Healthcare Quintuple Aim, balancing patient outcomes, provider wellbeing, community health, financial sustainability, and truly personalised care.</p>
<p>It’s a thoughtful and uplifting conversation about listening, empathy, and how creating space for diverse voices can lead to more meaningful impact — in healthcare and beyond.</p>
]]></description>
                                                            <content:encoded><![CDATA[In this episode of the Women in Data Podcast, Cecilia chats with Beth Bauer, a healthcare data leader with nearly four decades of experience bringing data, people, and purpose together.
<p>Beth introduces the idea of positive friction — those intentional pauses that invite reflection, discussion, and sometimes disagreement — as a way to make better decisions in healthcare. She explains how this approach helps achieve the Healthcare Quintuple Aim, balancing patient outcomes, provider wellbeing, community health, financial sustainability, and truly personalised care.</p>
<p>It’s a thoughtful and uplifting conversation about listening, empathy, and how creating space for diverse voices can lead to more meaningful impact — in healthcare and beyond.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/ehze6bypmhtht6mf/Ep146_-_Beth_Bauer_for_scheduler9uvd3.mp3" length="27610316" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode of the Women in Data Podcast, Cecilia chats with Beth Bauer, a healthcare data leader with nearly four decades of experience bringing data, people, and purpose together.
Beth introduces the idea of positive friction — those intentional pauses that invite reflection, discussion, and sometimes disagreement — as a way to make better decisions in healthcare. She explains how this approach helps achieve the Healthcare Quintuple Aim, balancing patient outcomes, provider wellbeing, community health, financial sustainability, and truly personalised care.
It’s a thoughtful and uplifting conversation about listening, empathy, and how creating space for diverse voices can lead to more meaningful impact — in healthcare and beyond.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2280</itunes:duration>
                <itunes:episode>148</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.145 - Thriving on the technical path in data</title>
        <itunes:title>Ep.145 - Thriving on the technical path in data</itunes:title>
        <link>https://womenindata.podbean.com/e/ep145-thriving-on-the-technical-path-in-data/</link>
                    <comments>https://womenindata.podbean.com/e/ep145-thriving-on-the-technical-path-in-data/#comments</comments>        <pubDate>Tue, 14 Oct 2025 06:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/6a2386d7-43ad-3a2d-9a75-0ada9c4499bc</guid>
                                    <description><![CDATA[<p>Progress in data careers doesn’t have to mean management!</p>
<p>In this episode, Karen speaks with Niruta Talwekar, Staff Data Engineer,  about carving out a fulfilling career on the technical track — and why progress doesn’t always look like a new job title.</p>
<p> </p>
<p>Niruta shares her perspective on:</p>
<ul>
<li style="font-weight:400;">Why a technical career path could be a better option for many data professionals</li>
<li style="font-weight:400;">Why slow title changes don’t mean stagnation — true progress comes from building expertise and impact</li>
<li style="font-weight:400;">The importance of having more visible technical leaders</li>
<li style="font-weight:400;">How visibility and recognition strengthen credibility as a technical leader</li>
<li style="font-weight:400;">The underrated role of patience in career growth — trusting that skills compound over time</li>
</ul>
<p> </p>
<p>The best piece of career advice she ever received: it’s not only about how you see yourself, but how you help others see you.</p>
<p> </p>
<p>Whether you’re an aspiring data professional, or an experienced IC wondering what your career could look like, this episode is packed with insights to help you define success on your own terms.</p>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Progress in data careers doesn’t have to mean management!</p>
<p>In this episode, Karen speaks with Niruta Talwekar, Staff Data Engineer,  about carving out a fulfilling career on the technical track — and why progress doesn’t always look like a new job title.</p>
<p> </p>
<p>Niruta shares her perspective on:</p>
<ul>
<li style="font-weight:400;">Why a technical career path could be a better option for many data professionals</li>
<li style="font-weight:400;">Why slow title changes don’t mean stagnation — true progress comes from building expertise and impact</li>
<li style="font-weight:400;">The importance of having more visible technical leaders</li>
<li style="font-weight:400;">How visibility and recognition strengthen credibility as a technical leader</li>
<li style="font-weight:400;">The underrated role of patience in career growth — trusting that skills compound over time</li>
</ul>
<p> </p>
<p>The best piece of career advice she ever received: it’s not only about how you see yourself, but how you help others see you.</p>
<p> </p>
<p>Whether you’re an aspiring data professional, or an experienced IC wondering what your career could look like, this episode is packed with insights to help you define success on your own terms.</p>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/65dvxbbpm72s6jq5/Ep145_-_Thriving_on_the_technical_path_in_dataapo0r.mp3" length="20411898" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Progress in data careers doesn’t have to mean management!
In this episode, Karen speaks with Niruta Talwekar, Staff Data Engineer,  about carving out a fulfilling career on the technical track — and why progress doesn’t always look like a new job title.
 
Niruta shares her perspective on:

Why a technical career path could be a better option for many data professionals
Why slow title changes don’t mean stagnation — true progress comes from building expertise and impact
The importance of having more visible technical leaders
How visibility and recognition strengthen credibility as a technical leader
The underrated role of patience in career growth — trusting that skills compound over time

 
The best piece of career advice she ever received: it’s not only about how you see yourself, but how you help others see you.
 
Whether you’re an aspiring data professional, or an experienced IC wondering what your career could look like, this episode is packed with insights to help you define success on your own terms.
 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1557</itunes:duration>
                <itunes:episode>147</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.144 - 5 Strategies to Get Promoted in Data Careers</title>
        <itunes:title>Ep.144 - 5 Strategies to Get Promoted in Data Careers</itunes:title>
        <link>https://womenindata.podbean.com/e/ep144-5-strategies-to-get-promoted-in-data-careers/</link>
                    <comments>https://womenindata.podbean.com/e/ep144-5-strategies-to-get-promoted-in-data-careers/#comments</comments>        <pubDate>Tue, 30 Sep 2025 05:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/5b43737d-d23e-31ed-80e6-425bdf0aaeb0</guid>
                                    <description><![CDATA[<p>Getting promoted isn’t just about doing great work—it’s about knowing how to show it, when to ask, and what “next level” really means. In this candid conversation, co-hosts Karen Jean-Francois and Cecilia Oliveira break down five essential strategies to help you move your career forward.</p>
<p> </p>
<p>Karen shares a personal story about giving a colleague advice that landed him a promotion while she stayed behind, a wake-up call that doing excellent technical work isn’t enough. Together, she and Cecilia unpack why visibility, business acumen, and impact matter just as much as output.</p>
<p> </p>
<p>You’ll learn why defining the “next step” in your career is critical, why becoming a manager isn’t the only way to progress, and how finding advocates (not just mentors) will support your progression. Cecilia adds a practical reminder: keep your receipts—document your achievements so you’re ready when promotion conversations come up.</p>
<p> </p>
<p>Whether you’re just starting your career in data or aiming for that next big leap, this episode will help you reframe how you think about promotions and give you actionable steps to start moving up with confidence.</p>
<p>Tune in, and start owning your next career move.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Getting promoted isn’t just about doing great work—it’s about knowing how to show it, when to ask, and what “next level” really means. In this candid conversation, co-hosts Karen Jean-Francois and Cecilia Oliveira break down five essential strategies to help you move your career forward.</p>
<p> </p>
<p>Karen shares a personal story about giving a colleague advice that landed <em>him</em> a promotion while she stayed behind, a wake-up call that doing excellent technical work isn’t enough. Together, she and Cecilia unpack why visibility, business acumen, and impact matter just as much as output.</p>
<p> </p>
<p>You’ll learn why defining the “next step” in your career is critical, why becoming a manager isn’t the only way to progress, and how finding advocates (not just mentors) will support your progression. Cecilia adds a practical reminder: keep your receipts—document your achievements so you’re ready when promotion conversations come up.</p>
<p> </p>
<p>Whether you’re just starting your career in data or aiming for that next big leap, this episode will help you reframe how you think about promotions and give you actionable steps to start moving up with confidence.</p>
<p>Tune in, and start owning your next career move.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/39eqggacf3nj6ztz/Ep144_-_5_Strategies_to_Get_Promoted_in_Data_Careers7skm2.mp3" length="22964853" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Getting promoted isn’t just about doing great work—it’s about knowing how to show it, when to ask, and what “next level” really means. In this candid conversation, co-hosts Karen Jean-Francois and Cecilia Oliveira break down five essential strategies to help you move your career forward.
 
Karen shares a personal story about giving a colleague advice that landed him a promotion while she stayed behind, a wake-up call that doing excellent technical work isn’t enough. Together, she and Cecilia unpack why visibility, business acumen, and impact matter just as much as output.
 
You’ll learn why defining the “next step” in your career is critical, why becoming a manager isn’t the only way to progress, and how finding advocates (not just mentors) will support your progression. Cecilia adds a practical reminder: keep your receipts—document your achievements so you’re ready when promotion conversations come up.
 
Whether you’re just starting your career in data or aiming for that next big leap, this episode will help you reframe how you think about promotions and give you actionable steps to start moving up with confidence.
Tune in, and start owning your next career move.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1422</itunes:duration>
                <itunes:episode>146</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.143 – Fixing Women’s Health Data Blind Spots</title>
        <itunes:title>Ep.143 – Fixing Women’s Health Data Blind Spots</itunes:title>
        <link>https://womenindata.podbean.com/e/ep143-%e2%80%93-fixing-women-s-health-data-blind-spots/</link>
                    <comments>https://womenindata.podbean.com/e/ep143-%e2%80%93-fixing-women-s-health-data-blind-spots/#comments</comments>        <pubDate>Tue, 16 Sep 2025 06:00:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/cd50a501-bea0-34f1-8cad-e7e347e85344</guid>
                                    <description><![CDATA[<p>In this episode, Cecilia welcomes Katherine Church to discuss the systemic gender data gap in healthcare and its impact on women’s health.

Katherine explains how women have long been underrepresented in research and clinical trials, leading to misdiagnosis, overlooked conditions, and unsafe treatments. She shares innovative partnerships, such as Boots and Tesco using loyalty card data to detect ovarian cancer earlier, and stresses the importance of recording women’s symptoms. With insights on ethics, wearables, and projects like Our Future Health and Women in Data’s Women’s Health chapter, Katherine shows how data can drive meaningful progress in women’s health.</p>
 
And If you can, take part in Our Future Health - <a href='https://ourfuturehealth.org.uk/'>https://ourfuturehealth.org.uk/</a> - and explore Women In Data's Women's Health chapter - <a href='https://womenindata.co.uk/womens-health/'>https://womenindata.co.uk/womens-health/</a> - volunteers are always welcome!]]></description>
                                                            <content:encoded><![CDATA[<p><em>In this episode, Cecilia welcomes Katherine Church to discuss the systemic gender data gap in healthcare and its impact on women’s health.<br>
<br>
Katherine explains how women have long been underrepresented in research and clinical trials, leading to misdiagnosis, overlooked conditions, and unsafe treatments. She shares innovative partnerships, such as Boots and Tesco using loyalty card data to detect ovarian cancer earlier, and stresses the importance of recording women’s symptoms. With insights on ethics, wearables, and projects like Our Future Health and Women in Data’s Women’s Health chapter, Katherine shows how data can drive meaningful progress in women’s health.</em></p>
<em> </em>
<em>And If you can, take part in Our Future Health - <a href='https://ourfuturehealth.org.uk/'>https://ourfuturehealth.org.uk/</a> - </em><em>and explore Women In Data's Women's Health chapter - <a href='https://womenindata.co.uk/womens-health/'>https://womenindata.co.uk/womens-health/</a> - volunteers are always welcome!</em>]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/8bnjhmts8sg3kxn5/Ep_143_Katherine_Church_for_schedulerazq9o.mp3" length="20674205" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Cecilia welcomes Katherine Church to discuss the systemic gender data gap in healthcare and its impact on women’s health.Katherine explains how women have long been underrepresented in research and clinical trials, leading to misdiagnosis, overlooked conditions, and unsafe treatments. She shares innovative partnerships, such as Boots and Tesco using loyalty card data to detect ovarian cancer earlier, and stresses the importance of recording women’s symptoms. With insights on ethics, wearables, and projects like Our Future Health and Women in Data’s Women’s Health chapter, Katherine shows how data can drive meaningful progress in women’s health.
 
And If you can, take part in Our Future Health - https://ourfuturehealth.org.uk/ - and explore Women In Data's Women's Health chapter - https://womenindata.co.uk/womens-health/ - volunteers are always welcome!]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1439</itunes:duration>
                <itunes:episode>145</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.142 – The future of careers in data</title>
        <itunes:title>Ep.142 – The future of careers in data</itunes:title>
        <link>https://womenindata.podbean.com/e/ep142-%e2%80%93-the-future-of-careers-in-data/</link>
                    <comments>https://womenindata.podbean.com/e/ep142-%e2%80%93-the-future-of-careers-in-data/#comments</comments>        <pubDate>Tue, 02 Sep 2025 05:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/32f32a6f-7b53-345f-81a3-15fbfd7825dd</guid>
                                    <description><![CDATA[<p>In this episode, Karen speaks with Cali Wood, Head of Data &amp; AI Strategy &amp; Culture at AXA UK, about what it really means to future-proof your career in a world where GenAI is reshaping the skills landscape.</p>
<p>From the rise of AI agents and natural language as a “coding language” to the growing importance of human skills like communication, ethics, and business understanding, Cali shares her experience based view on how AI is changing our field. She delves into:</p>
<ul>
<li style="font-weight:400;">Practical AI use cases at AXA and their impact on data democratisation, and on the data team</li>
<li style="font-weight:400;">How the skills landscape is shifting and provides practical advice for early- to mid-career data professionals — and the leaders guiding them.</li>
<li style="font-weight:400;">How to stay relevant, collaborate with AI instead of competing against it, and use new tools to work smarter, not just faster. </li>
</ul>
<p>Cali also reveals why curiosity, boldness, and a willingness to challenge the status quo will be the superpowers of tomorrow’s data workforce.</p>
<p>If you’ve ever wondered where our industry was heading, or what your role might look like in the future — and how to make sure you’re ready — this conversation is for you.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Karen speaks with Cali Wood, Head of Data &amp; AI Strategy &amp; Culture at AXA UK, about what it really means to future-proof your career in a world where GenAI is reshaping the skills landscape.</p>
<p>From the rise of AI agents and natural language as a “coding language” to the growing importance of human skills like communication, ethics, and business understanding, Cali shares her experience based view on how AI is changing our field. She delves into:</p>
<ul>
<li style="font-weight:400;">Practical AI use cases at AXA and their impact on data democratisation, and on the data team</li>
<li style="font-weight:400;">How the skills landscape is shifting and provides practical advice for early- to mid-career data professionals — and the leaders guiding them.</li>
<li style="font-weight:400;">How to stay relevant, collaborate with AI instead of competing against it, and use new tools to work smarter, not just faster. </li>
</ul>
<p>Cali also reveals why curiosity, boldness, and a willingness to challenge the status quo will be the superpowers of tomorrow’s data workforce.</p>
<p>If you’ve ever wondered where our industry was heading, or what your role might look like in the future — and how to make sure you’re ready — this conversation is for you.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/qvc7pucfrfjbtvwe/Ep142_The_future_of_careers_in_data9ggxd.mp3" length="21819721" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Karen speaks with Cali Wood, Head of Data &amp; AI Strategy &amp; Culture at AXA UK, about what it really means to future-proof your career in a world where GenAI is reshaping the skills landscape.
From the rise of AI agents and natural language as a “coding language” to the growing importance of human skills like communication, ethics, and business understanding, Cali shares her experience based view on how AI is changing our field. She delves into:

Practical AI use cases at AXA and their impact on data democratisation, and on the data team
How the skills landscape is shifting and provides practical advice for early- to mid-career data professionals — and the leaders guiding them.
How to stay relevant, collaborate with AI instead of competing against it, and use new tools to work smarter, not just faster. 

Cali also reveals why curiosity, boldness, and a willingness to challenge the status quo will be the superpowers of tomorrow’s data workforce.
If you’ve ever wondered where our industry was heading, or what your role might look like in the future — and how to make sure you’re ready — this conversation is for you.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1836</itunes:duration>
                <itunes:episode>144</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep. 141 - Beyond Fairness Building Strong Communities &amp; Using Data for Change</title>
        <itunes:title>Ep. 141 - Beyond Fairness Building Strong Communities &amp; Using Data for Change</itunes:title>
        <link>https://womenindata.podbean.com/e/ep-141-beyond-fairness-building-strong-communities-using-data-for-change/</link>
                    <comments>https://womenindata.podbean.com/e/ep-141-beyond-fairness-building-strong-communities-using-data-for-change/#comments</comments>        <pubDate>Tue, 22 Jul 2025 06:00:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/bee77d66-2682-32bd-b736-b619139caf75</guid>
                                    <description><![CDATA[<p>In this episode of the Women in Data podcast, Cecilia is joined by Jo Portlock, VP of People, Culture and Belonging at LexisNexis, for a powerful conversation about what fairness truly means in today’s workplace — and why it’s so much more than a buzzword.</p>
<p>They explore how fairness is about visibility and access, not advantage, and why organisations must intentionally build cultures that support everyone, especially in times of uncertainty. Jo shares how mentorship and sponsorship are essential tools for progress, and why strong communities like Women in Data are more important now than ever.</p>
<p>You’ll also hear why data is a crucial force for accountability, how to use it to spot gaps and drive change, and what the future of work might look like in a world increasingly shaped by AI.</p>
<p>Packed with personal insights, practical tips, and thoughtful reflections, this episode is a must-listen for anyone looking to navigate a shifting professional landscape with purpose, resilience, and a supportive network by their side.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode of the Women in Data podcast, Cecilia is joined by Jo Portlock, VP of People, Culture and Belonging at LexisNexis, for a powerful conversation about what fairness truly means in today’s workplace — and why it’s so much more than a buzzword.</p>
<p>They explore how fairness is about visibility and access, not advantage, and why organisations must intentionally build cultures that support everyone, especially in times of uncertainty. Jo shares how mentorship and sponsorship are essential tools for progress, and why strong communities like Women in Data are more important now than ever.</p>
<p>You’ll also hear why data is a crucial force for accountability, how to use it to spot gaps and drive change, and what the future of work might look like in a world increasingly shaped by AI.</p>
<p>Packed with personal insights, practical tips, and thoughtful reflections, this episode is a must-listen for anyone looking to navigate a shifting professional landscape with purpose, resilience, and a supportive network by their side.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/97sdkjk3uc5zsgm8/Episode_141_-_Beyond_Fairness_Building_Strong_Communities_Using_Data_for_Change8mqx1.mp3" length="25227852" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode of the Women in Data podcast, Cecilia is joined by Jo Portlock, VP of People, Culture and Belonging at LexisNexis, for a powerful conversation about what fairness truly means in today’s workplace — and why it’s so much more than a buzzword.
They explore how fairness is about visibility and access, not advantage, and why organisations must intentionally build cultures that support everyone, especially in times of uncertainty. Jo shares how mentorship and sponsorship are essential tools for progress, and why strong communities like Women in Data are more important now than ever.
You’ll also hear why data is a crucial force for accountability, how to use it to spot gaps and drive change, and what the future of work might look like in a world increasingly shaped by AI.
Packed with personal insights, practical tips, and thoughtful reflections, this episode is a must-listen for anyone looking to navigate a shifting professional landscape with purpose, resilience, and a supportive network by their side.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1896</itunes:duration>
                <itunes:episode>143</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.140 - Guide to returning to your career in data after maternity leave</title>
        <itunes:title>Ep.140 - Guide to returning to your career in data after maternity leave</itunes:title>
        <link>https://womenindata.podbean.com/e/ep140-guide-to-returning-to-your-career-in-data-after-maternity-leave/</link>
                    <comments>https://womenindata.podbean.com/e/ep140-guide-to-returning-to-your-career-in-data-after-maternity-leave/#comments</comments>        <pubDate>Tue, 08 Jul 2025 04:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/c15c47fc-3862-3935-a628-c204fd7a9038</guid>
                                    <description><![CDATA[<p>In this candid and empowering episode, Karen sits down with Maaike Van Der Branden, Chief Data Officer,  to explore the real, unfiltered experience of returning to work after maternity leave. From battling imposter syndrome and skill gaps to rebuilding confidence and reshaping leadership, Maaike shares insights that every working mum, colleague, and employer should hear.</p>
<p>Together, they discuss what it’s really like to return to your job as a new mum: the double guilt, the pressure to catch up, the fear of falling behind, and how crucial it is to be given time, space, and support. Maaike opens up about how motherhood has changed her—not just personally, but professionally—and how it’s made her a more empathetic and inclusive leader.</p>
<p>They also tackle the values that drive career choices post-parenthood, from rejecting toxic industries to focusing on meaningful impact.</p>
<p>Plus, don't miss the rapid-fire round on favourite books, tools, and leadership advice.</p>
<p>🎙️ Whether you're a mum in tech, a team leader, or someone navigating the messy middle of career and family—this episode will speak to you.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this candid and empowering episode, Karen sits down with Maaike Van Der Branden, Chief Data Officer,  to explore the real, unfiltered experience of returning to work after maternity leave. From battling imposter syndrome and skill gaps to rebuilding confidence and reshaping leadership, Maaike shares insights that every working mum, colleague, and employer should hear.</p>
<p>Together, they discuss what it’s really like to return to your job as a new mum: the double guilt, the pressure to catch up, the fear of falling behind, and how crucial it is to be given time, space, and support. Maaike opens up about how motherhood has changed her—not just personally, but professionally—and how it’s made her a more empathetic and inclusive leader.</p>
<p>They also tackle the values that drive career choices post-parenthood, from rejecting toxic industries to focusing on meaningful impact.</p>
<p>Plus, don't miss the rapid-fire round on favourite books, tools, and leadership advice.</p>
<p>🎙️ Whether you're a mum in tech, a team leader, or someone navigating the messy middle of career and family—this episode will speak to you.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/dj2u9yn6g7rqfyyg/Ep140_-_Guide_to_returning_to_your_career_in_data_after_maternity_leaveaygju.mp3" length="25749896" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this candid and empowering episode, Karen sits down with Maaike Van Der Branden, Chief Data Officer,  to explore the real, unfiltered experience of returning to work after maternity leave. From battling imposter syndrome and skill gaps to rebuilding confidence and reshaping leadership, Maaike shares insights that every working mum, colleague, and employer should hear.
Together, they discuss what it’s really like to return to your job as a new mum: the double guilt, the pressure to catch up, the fear of falling behind, and how crucial it is to be given time, space, and support. Maaike opens up about how motherhood has changed her—not just personally, but professionally—and how it’s made her a more empathetic and inclusive leader.
They also tackle the values that drive career choices post-parenthood, from rejecting toxic industries to focusing on meaningful impact.
Plus, don't miss the rapid-fire round on favourite books, tools, and leadership advice.
🎙️ Whether you're a mum in tech, a team leader, or someone navigating the messy middle of career and family—this episode will speak to you.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1676</itunes:duration>
                <itunes:episode>142</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.139 - Stay Relevant or Fall Behind:Thriving in the Age of Generative AI</title>
        <itunes:title>Ep.139 - Stay Relevant or Fall Behind:Thriving in the Age of Generative AI</itunes:title>
        <link>https://womenindata.podbean.com/e/ep139-stay-relevant-or-fall-behindthriving-in-the-age-of-generative-ai/</link>
                    <comments>https://womenindata.podbean.com/e/ep139-stay-relevant-or-fall-behindthriving-in-the-age-of-generative-ai/#comments</comments>        <pubDate>Tue, 24 Jun 2025 05:30:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/f8a6acee-2414-3552-96db-3e3040481c99</guid>
                                    <description><![CDATA[<p>Karen is joined by Cindi Howson—Chief Data &amp; AI Strategy Officer at ThoughtSpot and host of The Data Chief Podcast. If you saw her speak at the Women in Data flagship conference, you’ll know how inspiring and bold her perspective is.</p>
<p>In this episode, Cindi shares her take on where data and AI are heading—and it’s not business as usual.</p>
<p>They explore:</p>
<ul>
<li style="font-weight:400;">How generative AI and AI agents are already changing the landscape of work</li>
<li style="font-weight:400;">What it means for data professionals, particularly women, and their careers </li>
<li style="font-weight:400;">How to stay relevant through continuous learning and adaptability</li>
<li style="font-weight:400;">The pressing need to address bias in AI and create more inclusive data cultures</li>
</ul>
<p>Cindi asks: “If you can’t do this, then who?”—a challenge to step forward and lead the change in tech.</p>
<p>Whether you're a data leader, practitioner, or just curious about the future of AI, this episode is packed with insight, practical advice, and a call to action.</p>
<p>Cindi recommends:</p>
<ul>
<li style="font-weight:400;">Coded Bias</li>
<li style="font-weight:400;">Race after technology</li>
</ul>
]]></description>
                                                            <content:encoded><![CDATA[<p>Karen is joined by Cindi Howson—Chief Data &amp; AI Strategy Officer at ThoughtSpot and host of The Data Chief Podcast. If you saw her speak at the Women in Data flagship conference, you’ll know how inspiring and bold her perspective is.</p>
<p>In this episode, Cindi shares her take on where data and AI are heading—and it’s not business as usual.</p>
<p>They explore:</p>
<ul>
<li style="font-weight:400;">How generative AI and AI agents are already changing the landscape of work</li>
<li style="font-weight:400;">What it means for data professionals, particularly women, and their careers </li>
<li style="font-weight:400;">How to stay relevant through continuous learning and adaptability</li>
<li style="font-weight:400;">The pressing need to address bias in AI and create more inclusive data cultures</li>
</ul>
<p>Cindi asks: “If you can’t do this, then who?”—a challenge to step forward and lead the change in tech.</p>
<p>Whether you're a data leader, practitioner, or just curious about the future of AI, this episode is packed with insight, practical advice, and a call to action.</p>
<p>Cindi recommends:</p>
<ul>
<li style="font-weight:400;">Coded Bias</li>
<li style="font-weight:400;">Race after technology</li>
</ul>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/c4g5h2iziajw8gvp/Ep139_-_Stay_Relevant_or_Fall_Behind_Thriving_in_the_Age_of_Generative_AI8stb2.mp3" length="35379370" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Karen is joined by Cindi Howson—Chief Data &amp; AI Strategy Officer at ThoughtSpot and host of The Data Chief Podcast. If you saw her speak at the Women in Data flagship conference, you’ll know how inspiring and bold her perspective is.
In this episode, Cindi shares her take on where data and AI are heading—and it’s not business as usual.
They explore:

How generative AI and AI agents are already changing the landscape of work
What it means for data professionals, particularly women, and their careers 
How to stay relevant through continuous learning and adaptability
The pressing need to address bias in AI and create more inclusive data cultures

Cindi asks: “If you can’t do this, then who?”—a challenge to step forward and lead the change in tech.
Whether you're a data leader, practitioner, or just curious about the future of AI, this episode is packed with insight, practical advice, and a call to action.
Cindi recommends:

Coded Bias
Race after technology
]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2214</itunes:duration>
                <itunes:episode>141</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep. 138 - Data Teams Habits that Make us Cringe</title>
        <itunes:title>Ep. 138 - Data Teams Habits that Make us Cringe</itunes:title>
        <link>https://womenindata.podbean.com/e/ep-138-data-teams-habits-that-make-us-cringe/</link>
                    <comments>https://womenindata.podbean.com/e/ep-138-data-teams-habits-that-make-us-cringe/#comments</comments>        <pubDate>Tue, 10 Jun 2025 07:00:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/40dae940-6d3a-35fe-a498-c8dade0a91dc</guid>
                                    <description><![CDATA[Screenshots of dashboards. Dashboards no one uses. Naming conventions we regret. In this cohosted episode, Cecilia and Karen unpack the everyday habits in data that might just make us cringe in 20 years.
 
<p>Inspired by the Future Data Cringe, <a href='https://www.futuredatacringe.com/'>https://www.futuredatacringe.com/</a>, where 50 data leaders shared what they think will age badly, this conversation is full of laughs, reflection, and a reminder that we’re all learning as we go. </p>
]]></description>
                                                            <content:encoded><![CDATA[Screenshots of dashboards. Dashboards no one uses. Naming conventions we regret. In this cohosted episode, Cecilia and Karen unpack the everyday habits in data that might just make us cringe in 20 years.
 
<p>Inspired by the Future Data Cringe, <a href='https://www.futuredatacringe.com/'>https://www.futuredatacringe.com/</a>, where 50 data leaders shared what they think will age badly, this conversation is full of laughs, reflection, and a reminder that we’re all learning as we go. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/4xc8bth3wiccbhfh/Episode_138_-_Data_Cringe_-_final_with_new_intro93fzu.mp3" length="19984760" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Screenshots of dashboards. Dashboards no one uses. Naming conventions we regret. In this cohosted episode, Cecilia and Karen unpack the everyday habits in data that might just make us cringe in 20 years.
 
Inspired by the Future Data Cringe, https://www.futuredatacringe.com/, where 50 data leaders shared what they think will age badly, this conversation is full of laughs, reflection, and a reminder that we’re all learning as we go. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1548</itunes:duration>
                <itunes:episode>140</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep. 137 - What Data Job is Right for you? Breaking down Data roles</title>
        <itunes:title>Ep. 137 - What Data Job is Right for you? Breaking down Data roles</itunes:title>
        <link>https://womenindata.podbean.com/e/what-data-job-is-right-for-you-breaking-down-data-roles/</link>
                    <comments>https://womenindata.podbean.com/e/what-data-job-is-right-for-you-breaking-down-data-roles/#comments</comments>        <pubDate>Tue, 27 May 2025 08:00:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/f37c8294-2a0e-32f2-a6fb-c0428203baad</guid>
                                    <description><![CDATA[In this episode, Cecilia welcomes Riya Joshi, a Data and Applied Scientist on the Microsoft Edge Browser team, to demystify the wide world of data roles. Riya breaks down the field into four core paths—analyst, engineering, science, and product—explaining the purpose, required skills, and career fit for each.
Drawing from her journey from India to the USA, Riya offers guidance on how to assess your strengths, explore industry niches, and build skills that align with your goals. The conversation covers everything from storytelling with data and domain knowledge to navigating job descriptions and preparing for technical interviews.
Riya shares tips on building real-world experience through projects and bootcamps, structuring CVs, and preparing for interviews. Whether you’re switching careers or just starting out, this episode is packed with practical advice and inspiration to help you break into and thrive in data.]]></description>
                                                            <content:encoded><![CDATA[<em>In this episode, Cecilia welcomes Riya Joshi, a Data and Applied Scientist on the Microsoft Edge Browser team, to demystify the wide world of data roles. Riya breaks down the field into four core paths—analyst, engineering, science, and product—explaining the purpose, required skills, and career fit for each.</em>
<em>Drawing from her journey from India to the USA, Riya offers guidance on how to assess your strengths, explore industry niches, and build skills that align with your goals. The conversation covers everything from storytelling with data and domain knowledge to navigating job descriptions and preparing for technical interviews.</em>
<em>Riya shares tips on building real-world experience through projects and bootcamps, structuring CVs, and preparing for interviews. Whether you’re switching careers or just starting out, this episode is packed with practical advice and inspiration to help you break into and thrive in data.</em>]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/9gm23v65nng86uvu/What_Data_Job_is_Right_for_you_Breaking_down_Data_roles92lnb.mp3" length="25412360" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Cecilia welcomes Riya Joshi, a Data and Applied Scientist on the Microsoft Edge Browser team, to demystify the wide world of data roles. Riya breaks down the field into four core paths—analyst, engineering, science, and product—explaining the purpose, required skills, and career fit for each.
Drawing from her journey from India to the USA, Riya offers guidance on how to assess your strengths, explore industry niches, and build skills that align with your goals. The conversation covers everything from storytelling with data and domain knowledge to navigating job descriptions and preparing for technical interviews.
Riya shares tips on building real-world experience through projects and bootcamps, structuring CVs, and preparing for interviews. Whether you’re switching careers or just starting out, this episode is packed with practical advice and inspiration to help you break into and thrive in data.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2181</itunes:duration>
                <itunes:episode>139</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep. 136 - Data: The Most Transferable Skill</title>
        <itunes:title>Ep. 136 - Data: The Most Transferable Skill</itunes:title>
        <link>https://womenindata.podbean.com/e/ep-136-data-the-most-transferable-skill/</link>
                    <comments>https://womenindata.podbean.com/e/ep-136-data-the-most-transferable-skill/#comments</comments>        <pubDate>Tue, 13 May 2025 05:30:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/0df4c302-5bf1-3054-af62-a49ccaa4f6ed</guid>
                                    <description><![CDATA[In this episode of the podcast, Cecilia speaks with Celine Liu, who transitioned from nonprofit coaching to leading global analytics at Uber. Celine’s story is a testament to how data is one of the most transferable and empowering skills across any industry.
 
Together, they explore the top three non-technical skills for success in data: everyday communication, strategic thinking, and business acumen. Celine shares how asking the right questions and understanding business context can amplify impact far more than technical expertise alone.
 
They also discuss the importance of fostering data literacy within organisations, how leadership influences data culture, and how to rethink AI as a useful tool. Celine wraps up with practical advice on finding your niche, shifting from doing to thinking, and staying proactive in the age of automation.
 
This episode promises motivation for anyone looking to grow or pivot in the world of data.]]></description>
                                                            <content:encoded><![CDATA[<em>In this episode of the podcast, Cecilia speaks with Celine Liu, who transitioned from nonprofit coaching to leading global analytics at Uber. Celine’s story is a testament to how data is one of the most transferable and empowering skills across any industry.</em>
<em> </em>
<em>Together, they explore the top three non-technical skills for success in data: everyday communication, strategic thinking, and business acumen. Celine shares how asking the right questions and understanding business context can amplify impact far more than technical expertise alone.</em>
<em> </em>
<em>They also discuss the importance of fostering data literacy within organisations, how leadership influences data culture, and how to rethink AI as a useful tool. Celine wraps up with practical advice on finding your niche, shifting from doing to thinking, and staying proactive in the age of automation.</em>
<em> </em>
<em>This episode promises motivation for anyone looking to grow or pivot in the world of data.</em>]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/3df5u56hhgt7yjuf/Data_The_Most_Transferable_Skilla0vrz.mp3" length="18649160" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode of the podcast, Cecilia speaks with Celine Liu, who transitioned from nonprofit coaching to leading global analytics at Uber. Celine’s story is a testament to how data is one of the most transferable and empowering skills across any industry.
 
Together, they explore the top three non-technical skills for success in data: everyday communication, strategic thinking, and business acumen. Celine shares how asking the right questions and understanding business context can amplify impact far more than technical expertise alone.
 
They also discuss the importance of fostering data literacy within organisations, how leadership influences data culture, and how to rethink AI as a useful tool. Celine wraps up with practical advice on finding your niche, shifting from doing to thinking, and staying proactive in the age of automation.
 
This episode promises motivation for anyone looking to grow or pivot in the world of data.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1453</itunes:duration>
                <itunes:episode>137</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.135 - Success in Data &amp; Tech: Lessons from 30+ Years in the field</title>
        <itunes:title>Ep.135 - Success in Data &amp; Tech: Lessons from 30+ Years in the field</itunes:title>
        <link>https://womenindata.podbean.com/e/ep135-success-in-data-tech-lessons-from-30-years-in-the-field/</link>
                    <comments>https://womenindata.podbean.com/e/ep135-success-in-data-tech-lessons-from-30-years-in-the-field/#comments</comments>        <pubDate>Tue, 29 Apr 2025 05:30:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/dfc4920a-f4ed-3be9-8cab-10d1fdda3944</guid>
                                    <description><![CDATA[<p>In this episode, Karen is joined by Dora Boussias, an Award-winning Data &amp; AI Exec &amp; Founder with 30 years of experience across industries. Dora shares her journey from Greece to the USA., and from corporate leadership to full-time coaching and mentoring. </p>
<p>  </p>
<p>Together, they explore the importance of soft skills in a data-driven world—especially communication, self-awareness, and personal branding. Dora reflects on managing imposter syndrome, differentiating yourself beyond technical skills, and the importance of understanding stakeholder needs to drive impact. </p>
<p>  </p>
<p>They also dive into topics like career negotiation, building confidence through small steps, and how to future-proof your role in the age of AI. With memorable personal stories and thoughtful insights, Dora encourages listeners to find their voice, know their value, and lead with authenticity. </p>
<p>This episode is a must-listen for anyone looking to grow, pivot, or lead with more purpose in the data space </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Karen is joined by Dora Boussias, an Award-winning Data &amp; AI Exec &amp; Founder with 30 years of experience across industries. Dora shares her journey from Greece to the USA., and from corporate leadership to full-time coaching and mentoring. </p>
<p>  </p>
<p>Together, they explore the importance of soft skills in a data-driven world—especially communication, self-awareness, and personal branding. Dora reflects on managing imposter syndrome, differentiating yourself beyond technical skills, and the importance of understanding stakeholder needs to drive impact. </p>
<p>  </p>
<p>They also dive into topics like career negotiation, building confidence through small steps, and how to future-proof your role in the age of AI. With memorable personal stories and thoughtful insights, Dora encourages listeners to find their voice, know their value, and lead with authenticity. </p>
<p>This episode is a must-listen for anyone looking to grow, pivot, or lead with more purpose in the data space </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/dyi5g3h7nmjg6mkq/Ep135_-_Success_in_Data_Tech_Lessons_from_30_Years_in_the_field9dpyf.mp3" length="31454683" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Karen is joined by Dora Boussias, an Award-winning Data &amp; AI Exec &amp; Founder with 30 years of experience across industries. Dora shares her journey from Greece to the USA., and from corporate leadership to full-time coaching and mentoring. 
  
Together, they explore the importance of soft skills in a data-driven world—especially communication, self-awareness, and personal branding. Dora reflects on managing imposter syndrome, differentiating yourself beyond technical skills, and the importance of understanding stakeholder needs to drive impact. 
  
They also dive into topics like career negotiation, building confidence through small steps, and how to future-proof your role in the age of AI. With memorable personal stories and thoughtful insights, Dora encourages listeners to find their voice, know their value, and lead with authenticity. 
This episode is a must-listen for anyone looking to grow, pivot, or lead with more purpose in the data space ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2405</itunes:duration>
                <itunes:episode>138</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.134 - The Path to Data Leadership: Skills, Challenges, and Growth Strategies for Every Career Stage</title>
        <itunes:title>Ep.134 - The Path to Data Leadership: Skills, Challenges, and Growth Strategies for Every Career Stage</itunes:title>
        <link>https://womenindata.podbean.com/e/ep134-the-path-to-data-leadership-skills-challenges-and-growth-strategies-for-every-career-stage/</link>
                    <comments>https://womenindata.podbean.com/e/ep134-the-path-to-data-leadership-skills-challenges-and-growth-strategies-for-every-career-stage/#comments</comments>        <pubDate>Tue, 15 Apr 2025 05:26:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/4784261c-f554-32cc-aeb4-9aae6cd0e7dc</guid>
                                    <description><![CDATA[<p>In this episode, Caroline Florence, founder of Insight Narrator, discusses the essential non-technical skills required to become a leader in data, and what they look like and evolve at every stage of one’s career. She emphasises that being a data leader is about leadership first, with transferable skills like communication, influence, and managing teams becoming even more critical in the AI era. Caroline highlights the challenge for data leaders in letting go of technical tasks to focus on vision-setting, empowering teams, and influencing across organisations. </p>
<p>She touches on the loneliness that can come with data leadership, stressing the importance of peer networks and community support. Caroline also introduces Women in Data’s LEAP program, designed to help future leaders develop these skills and advance authentically in their careers.  </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Caroline Florence, founder of Insight Narrator, discusses the essential non-technical skills required to become a leader in data, and what they look like and evolve at every stage of one’s career. She emphasises that being a data leader is about leadership first, with transferable skills like communication, influence, and managing teams becoming even more critical in the AI era. Caroline highlights the challenge for data leaders in letting go of technical tasks to focus on vision-setting, empowering teams, and influencing across organisations. </p>
<p>She touches on the loneliness that can come with data leadership, stressing the importance of peer networks and community support. Caroline also introduces Women in Data’s LEAP program, designed to help future leaders develop these skills and advance authentically in their careers.  </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/jcmt8pf9ah9wyiui/Ep134_-_The_Path_to_Data_Leadership6a67o.mp3" length="43253970" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Caroline Florence, founder of Insight Narrator, discusses the essential non-technical skills required to become a leader in data, and what they look like and evolve at every stage of one’s career. She emphasises that being a data leader is about leadership first, with transferable skills like communication, influence, and managing teams becoming even more critical in the AI era. Caroline highlights the challenge for data leaders in letting go of technical tasks to focus on vision-setting, empowering teams, and influencing across organisations. 
She touches on the loneliness that can come with data leadership, stressing the importance of peer networks and community support. Caroline also introduces Women in Data’s LEAP program, designed to help future leaders develop these skills and advance authentically in their careers.  ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2508</itunes:duration>
                <itunes:episode>136</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.133 - From Risk Analyst to Data Leader: Bindu's Journey and Key Career Lessons</title>
        <itunes:title>Ep.133 - From Risk Analyst to Data Leader: Bindu's Journey and Key Career Lessons</itunes:title>
        <link>https://womenindata.podbean.com/e/ep133-from-risk-analyst-to-data-leader-bindus-journey-and-key-career-lessons/</link>
                    <comments>https://womenindata.podbean.com/e/ep133-from-risk-analyst-to-data-leader-bindus-journey-and-key-career-lessons/#comments</comments>        <pubDate>Tue, 01 Apr 2025 05:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/d4b23383-f20c-3d06-9fe6-38dcdfd6fe7c</guid>
                                    <description><![CDATA[<p>In this episode of Women in Data, Bindu Bakrania, Head of Data Analytics for Capital Investments at Legal &amp; General shares her journey from a risk analyst to heading an entire Data Analytics team. </p>
<p>  </p>
<p>She discusses the importance of strategic career moves, embracing sideways transitions, and stepping into business roles to gain a broader perspective. Bindu highlights networking, leadership development, and the importance of managing imposter syndrome. She also discusses time management and prioritisation for effective leadership. Listen to this episode for valuable insights on navigating a career in data, advocating for women in the field, and fostering a strong data culture in organizations. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode of Women in Data, Bindu Bakrania, Head of Data Analytics for Capital Investments at Legal &amp; General shares her journey from a risk analyst to heading an entire Data Analytics team. </p>
<p>  </p>
<p>She discusses the importance of strategic career moves, embracing sideways transitions, and stepping into business roles to gain a broader perspective. Bindu highlights networking, leadership development, and the importance of managing imposter syndrome. She also discusses time management and prioritisation for effective leadership. Listen to this episode for valuable insights on navigating a career in data, advocating for women in the field, and fostering a strong data culture in organizations. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/w5fdbvz8b9ye93jn/Ep133_-_From_Risk_Analyst_to_Data_Leader_Bindu_s_Journey_and_Key_Career_Lessonsbgi5l.mp3" length="28503173" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode of Women in Data, Bindu Bakrania, Head of Data Analytics for Capital Investments at Legal &amp; General shares her journey from a risk analyst to heading an entire Data Analytics team. 
  
She discusses the importance of strategic career moves, embracing sideways transitions, and stepping into business roles to gain a broader perspective. Bindu highlights networking, leadership development, and the importance of managing imposter syndrome. She also discusses time management and prioritisation for effective leadership. Listen to this episode for valuable insights on navigating a career in data, advocating for women in the field, and fostering a strong data culture in organizations. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1937</itunes:duration>
                <itunes:episode>135</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.132 - Should You Stay or Walk Away? Making the Toughest Career Decision</title>
        <itunes:title>Ep.132 - Should You Stay or Walk Away? Making the Toughest Career Decision</itunes:title>
        <link>https://womenindata.podbean.com/e/ep132-should-you-stay-or-walk-away-making-the-toughest-career-decision/</link>
                    <comments>https://womenindata.podbean.com/e/ep132-should-you-stay-or-walk-away-making-the-toughest-career-decision/#comments</comments>        <pubDate>Tue, 18 Mar 2025 05:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/0351b2cb-ff48-32a1-86d6-ebfff4eb1d46</guid>
                                    <description><![CDATA[<p>This episode explores the tough decision of staying in or leaving a role. Karen Is joined by Marli van der Merwe and Rianna Kelly share personal experiences, discussing career growth, work environment, and well-being.  </p>
<p>Marli, a Data Engineer, had only been in the UK for a few months when she decided to leave her role. </p>
<p>Rianna, a Senior Manager for Data Analytics Engineering, on the other hand decided to stay when she found herself in an organisation where uncertainty was constant. </p>
<p>The episode offers a structured approach to decision-making, considering non-negotiables, financial and emotional factors. It also addresses external constraints like visa status and how circumstances may affect your decisions on your career. </p>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This episode explores the tough decision of staying in or leaving a role. Karen Is joined by Marli van der Merwe and Rianna Kelly share personal experiences, discussing career growth, work environment, and well-being.  </p>
<p>Marli, a Data Engineer, had only been in the UK for a few months when she decided to leave her role. </p>
<p>Rianna, a Senior Manager for Data Analytics Engineering, on the other hand decided to stay when she found herself in an organisation where uncertainty was constant. </p>
<p>The episode offers a structured approach to decision-making, considering non-negotiables, financial and emotional factors. It also addresses external constraints like visa status and how circumstances may affect your decisions on your career. </p>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/uu7r8rdjx27q39a2/Ep132_-_Should_You_Stay_or_Walk_Away-_Making_the_Toughest_Career_Decision9k09p.mp3" length="29939272" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This episode explores the tough decision of staying in or leaving a role. Karen Is joined by Marli van der Merwe and Rianna Kelly share personal experiences, discussing career growth, work environment, and well-being.  
Marli, a Data Engineer, had only been in the UK for a few months when she decided to leave her role. 
Rianna, a Senior Manager for Data Analytics Engineering, on the other hand decided to stay when she found herself in an organisation where uncertainty was constant. 
The episode offers a structured approach to decision-making, considering non-negotiables, financial and emotional factors. It also addresses external constraints like visa status and how circumstances may affect your decisions on your career. 
 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2236</itunes:duration>
                <itunes:episode>134</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.131 - How Data Teams and Stakeholders Can Work Better Together</title>
        <itunes:title>Ep.131 - How Data Teams and Stakeholders Can Work Better Together</itunes:title>
        <link>https://womenindata.podbean.com/e/ep131-how-data-teams-and-stakeholders-can-work-better-together/</link>
                    <comments>https://womenindata.podbean.com/e/ep131-how-data-teams-and-stakeholders-can-work-better-together/#comments</comments>        <pubDate>Tue, 04 Mar 2025 05:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/6b9dd7d3-f4b7-3524-805e-318b88378dab</guid>
                                    <description><![CDATA[<p>Collaboration between data teams and stakeholders isn’t always smooth. Misaligned expectations, shifting requirements, and a lack of mutual understanding can lead to frustration on both sides. </p>
<p>  </p>
<p>In this cohosted  episode, Karen and Cecilia dive into the key challenges data teams face when working with stakeholders —and, more importantly, how to overcome them. They share practical strategies to: </p>
<ul>
<li>Get stakeholders to bring problems, not just predefined solutions </li>
<li>Align expectations early and avoid last-minute changes </li>
<li>Build empathy and trust between technical and business teams </li>
</ul>
<p> </p>
<p>Tune in for actionable insights that will help you work better with stakeholders and maximise the value of data analytics! </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Collaboration between data teams and stakeholders isn’t always smooth. Misaligned expectations, shifting requirements, and a lack of mutual understanding can lead to frustration on both sides. </p>
<p>  </p>
<p>In this cohosted  episode, Karen and Cecilia dive into the key challenges data teams face when working with stakeholders —and, more importantly, how to overcome them. They share practical strategies to: </p>
<ul>
<li>Get stakeholders to bring problems, not just predefined solutions </li>
<li>Align expectations early and avoid last-minute changes </li>
<li>Build empathy and trust between technical and business teams </li>
</ul>
<p> </p>
<p>Tune in for actionable insights that will help you work better with stakeholders and maximise the value of data analytics! </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/2ax536e7mmmvet6j/Ep131_-_How_Data_Teams_and_Stakeholders_Can_Work_Better_Togetherb9uci.mp3" length="21749112" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Collaboration between data teams and stakeholders isn’t always smooth. Misaligned expectations, shifting requirements, and a lack of mutual understanding can lead to frustration on both sides. 
  
In this cohosted  episode, Karen and Cecilia dive into the key challenges data teams face when working with stakeholders —and, more importantly, how to overcome them. They share practical strategies to: 

Get stakeholders to bring problems, not just predefined solutions 
Align expectations early and avoid last-minute changes 
Build empathy and trust between technical and business teams 

 
Tune in for actionable insights that will help you work better with stakeholders and maximise the value of data analytics! ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1553</itunes:duration>
                <itunes:episode>133</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.130 Data Protection 101: What Every Data Professional Should Know</title>
        <itunes:title>Ep.130 Data Protection 101: What Every Data Professional Should Know</itunes:title>
        <link>https://womenindata.podbean.com/e/ep130-data-protection-101-what-every-data-professional-should-know/</link>
                    <comments>https://womenindata.podbean.com/e/ep130-data-protection-101-what-every-data-professional-should-know/#comments</comments>        <pubDate>Tue, 18 Feb 2025 06:00:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/faa87559-bd93-3643-9e74-acdf4dd915c1</guid>
                                    <description><![CDATA[<p>Data privacy isn’t just for legal teams—it’s a responsibility shared by everyone working with data. In this episode, Karen sits down with Sachiko Scheuing, European Privacy and AI Governance Officer at Acxiom, to explore the crucial role privacy plays in the data industry and why it matters more than ever. </p>
<p>They discuss: </p>
<ul>
<li>How data privacy differs from other roles in data and why strong communication is key </li>
</ul>
<ul>
<li>The role every data professional should play in protecting personal information </li>
</ul>
<ul>
<li>Common misconceptions, including the truth about consent and "consent fatigue" </li>
</ul>
<ul>
<li>How to handle situations where you're asked to share customer data but feel uncertain about privacy risks </li>
</ul>
<ul>
<li>The complex intersection of privacy laws and how to navigate them </li>
</ul>
<ul>
<li>How AI is impacting the field </li>
</ul>
<p>With evolving regulations and growing concerns about data and AI ethics, this conversation is packed with practical insights to help you take responsibility for privacy in your work. Tune in to learn how you can be proactive in protecting data—and the people behind it. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Data privacy isn’t just for legal teams—it’s a responsibility shared by everyone working with data. In this episode, Karen sits down with Sachiko Scheuing, European Privacy and AI Governance Officer at Acxiom, to explore the crucial role privacy plays in the data industry and why it matters more than ever. </p>
<p>They discuss: </p>
<ul>
<li>How data privacy differs from other roles in data and why strong communication is key </li>
</ul>
<ul>
<li>The role every data professional should play in protecting personal information </li>
</ul>
<ul>
<li>Common misconceptions, including the truth about consent and "consent fatigue" </li>
</ul>
<ul>
<li>How to handle situations where you're asked to share customer data but feel uncertain about privacy risks </li>
</ul>
<ul>
<li>The complex intersection of privacy laws and how to navigate them </li>
</ul>
<ul>
<li>How AI is impacting the field </li>
</ul>
<p>With evolving regulations and growing concerns about data and AI ethics, this conversation is packed with practical insights to help you take responsibility for privacy in your work. Tune in to learn how you can be proactive in protecting data—and the people behind it. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/88z8d97trhnm4vp5/Ep130_Data_Protection_101_What_Every_Data_Professional_Should_Know9ds5x.mp3" length="34620548" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Data privacy isn’t just for legal teams—it’s a responsibility shared by everyone working with data. In this episode, Karen sits down with Sachiko Scheuing, European Privacy and AI Governance Officer at Acxiom, to explore the crucial role privacy plays in the data industry and why it matters more than ever. 
They discuss: 

How data privacy differs from other roles in data and why strong communication is key 


The role every data professional should play in protecting personal information 


Common misconceptions, including the truth about consent and "consent fatigue" 


How to handle situations where you're asked to share customer data but feel uncertain about privacy risks 


The complex intersection of privacy laws and how to navigate them 


How AI is impacting the field 

With evolving regulations and growing concerns about data and AI ethics, this conversation is packed with practical insights to help you take responsibility for privacy in your work. Tune in to learn how you can be proactive in protecting data—and the people behind it. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2163</itunes:duration>
                <itunes:episode>132</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.129 Breaking Barriers:Skills and Strategies for Data Career Growth</title>
        <itunes:title>Ep.129 Breaking Barriers:Skills and Strategies for Data Career Growth</itunes:title>
        <link>https://womenindata.podbean.com/e/ep129-breaking-barriersskills-and-strategies-for-data-career-growth/</link>
                    <comments>https://womenindata.podbean.com/e/ep129-breaking-barriersskills-and-strategies-for-data-career-growth/#comments</comments>        <pubDate>Tue, 04 Feb 2025 06:00:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/436b8e79-7564-3469-a8d5-605c50a1c9ba</guid>
                                    <description><![CDATA[In this episode of the Women in Data podcast hosted by Cecilia, Manca Vitorino shares her journey from journalism to a data leadership role at ICIS, part of LexisNexis. Initially a markets reporter, Manca's exposure to data-driven journalism led her to identify automation and data visualization opportunities, sparking her transition into data.
 
She discusses how skills from journalism—investigating, verifying, and storytelling with data—are directly transferable to data analysis. Manca emphasizes the importance of solving problems and articulating solutions for career growth, rather than just seeking out job titles. She also highlights the growing need for data literacy across all industries.
 
Reflecting on her own experience, Manca talks about the challenges of moving into a technical role, managing imposter syndrome, and leveraging her communication skills to excel. This inspiring episode encourages listeners to explore how their existing skills can open doors to data-driven careers.]]></description>
                                                            <content:encoded><![CDATA[In this episode of the Women in Data podcast hosted by Cecilia, Manca Vitorino shares her journey from journalism to a data leadership role at ICIS, part of LexisNexis. Initially a markets reporter, Manca's exposure to data-driven journalism led her to identify automation and data visualization opportunities, sparking her transition into data.
 
She discusses how skills from journalism—investigating, verifying, and storytelling with data—are directly transferable to data analysis. Manca emphasizes the importance of solving problems and articulating solutions for career growth, rather than just seeking out job titles. She also highlights the growing need for data literacy across all industries.
 
Reflecting on her own experience, Manca talks about the challenges of moving into a technical role, managing imposter syndrome, and leveraging her communication skills to excel. This inspiring episode encourages listeners to explore how their existing skills can open doors to data-driven careers.]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/frp6tv884g4gzck7/2024-12-17-t12-05-33pm-guest843994-single_track_1bkf9t.mp3" length="25538822" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode of the Women in Data podcast hosted by Cecilia, Manca Vitorino shares her journey from journalism to a data leadership role at ICIS, part of LexisNexis. Initially a markets reporter, Manca's exposure to data-driven journalism led her to identify automation and data visualization opportunities, sparking her transition into data.
 
She discusses how skills from journalism—investigating, verifying, and storytelling with data—are directly transferable to data analysis. Manca emphasizes the importance of solving problems and articulating solutions for career growth, rather than just seeking out job titles. She also highlights the growing need for data literacy across all industries.
 
Reflecting on her own experience, Manca talks about the challenges of moving into a technical role, managing imposter syndrome, and leveraging her communication skills to excel. This inspiring episode encourages listeners to explore how their existing skills can open doors to data-driven careers.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1823</itunes:duration>
                <itunes:episode>131</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.128 Personal Branding for Data Professionals: Actionable Strategies to Grow Your Visibility</title>
        <itunes:title>Ep.128 Personal Branding for Data Professionals: Actionable Strategies to Grow Your Visibility</itunes:title>
        <link>https://womenindata.podbean.com/e/ep128-personal-branding-for-data-professionals-actionable-strategies-to-grow-your-visibility/</link>
                    <comments>https://womenindata.podbean.com/e/ep128-personal-branding-for-data-professionals-actionable-strategies-to-grow-your-visibility/#comments</comments>        <pubDate>Tue, 21 Jan 2025 06:00:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/92033e13-1638-322e-bf75-4385e06e0ac7</guid>
                                    <description><![CDATA[<p>What does it take to build a personal brand that truly stands out?  </p>
<p>In this episode, Karen dives into the world of personal branding with two inspiring guests, each offering unique perspectives and strategies: </p>
<ul>
<li>Robin Sutara, Chief Data and Strategy Officer at Databricks, who shares her journey from being behind the scenes to building her personal brand and being a visible thought leader. Robin emphasises the importance of consistency and overcoming imposter syndrome when sharing expertise online, especially on platforms like LinkedIn. She also shares how she makes time for content creation and advocating for opportunities to present work. </li>
</ul>
<ul>
<li>Olivia Arnold, Communications Director for Women in Data, who provides actionable strategies and advice for building your personal brand online. Livi stresses the importance of understanding your motivations and goals before sharing content. She breaks down how to engage your audience effectively, structure compelling content, and align your online persona with your offline presence. From writing in your authentic voice to analyzing what resonates with your audience, she offers practical advice to help you build connections and grow your visibility. </li>
</ul>
<p>Listen to this episode for actionable tips to help grow your visibility and excel in the data community! </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>What does it take to build a personal brand that truly stands out?  </p>
<p>In this episode, Karen dives into the world of personal branding with two inspiring guests, each offering unique perspectives and strategies: </p>
<ul>
<li>Robin Sutara, Chief Data and Strategy Officer at Databricks, who shares her journey from being behind the scenes to building her personal brand and being a visible thought leader. Robin emphasises the importance of consistency and overcoming imposter syndrome when sharing expertise online, especially on platforms like LinkedIn. She also shares how she makes time for content creation and advocating for opportunities to present work. </li>
</ul>
<ul>
<li>Olivia Arnold, Communications Director for Women in Data, who provides actionable strategies and advice for building your personal brand online. Livi stresses the importance of understanding your motivations and goals before sharing content. She breaks down how to engage your audience effectively, structure compelling content, and align your online persona with your offline presence. From writing in your authentic voice to analyzing what resonates with your audience, she offers practical advice to help you build connections and grow your visibility. </li>
</ul>
<p>Listen to this episode for actionable tips to help grow your visibility and excel in the data community! </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/7wxchms2dyuh26ig/Ep128_-_Personal_Branding_for_Data_Professionals_Actionable_Strategies_to_Grow_Your_Visibilitya9iar.mp3" length="33476062" type="audio/mpeg"/>
        <itunes:summary><![CDATA[What does it take to build a personal brand that truly stands out?  
In this episode, Karen dives into the world of personal branding with two inspiring guests, each offering unique perspectives and strategies: 

Robin Sutara, Chief Data and Strategy Officer at Databricks, who shares her journey from being behind the scenes to building her personal brand and being a visible thought leader. Robin emphasises the importance of consistency and overcoming imposter syndrome when sharing expertise online, especially on platforms like LinkedIn. She also shares how she makes time for content creation and advocating for opportunities to present work. 


Olivia Arnold, Communications Director for Women in Data, who provides actionable strategies and advice for building your personal brand online. Livi stresses the importance of understanding your motivations and goals before sharing content. She breaks down how to engage your audience effectively, structure compelling content, and align your online persona with your offline presence. From writing in your authentic voice to analyzing what resonates with your audience, she offers practical advice to help you build connections and grow your visibility. 

Listen to this episode for actionable tips to help grow your visibility and excel in the data community! ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2091</itunes:duration>
                <itunes:episode>130</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.127 Data Job Search Hacks: How to Land Your Dream Role</title>
        <itunes:title>Ep.127 Data Job Search Hacks: How to Land Your Dream Role</itunes:title>
        <link>https://womenindata.podbean.com/e/ep127-data-job-search-hacks-how-to-land-your-dream-role/</link>
                    <comments>https://womenindata.podbean.com/e/ep127-data-job-search-hacks-how-to-land-your-dream-role/#comments</comments>        <pubDate>Tue, 07 Jan 2025 06:00:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/07f7d30e-6564-3573-8429-8b95173c6181</guid>
                                    <description><![CDATA[<p>More often than not, we start looking for a new job when it’s already too late. We’re unhappy in our current role, and the rush to apply for anything we find online can lead to dissatisfaction down the line. </p>
<p>In this episode, Karen and Cecilia explore a more strategic job search process for data professionals. </p>
<p>From defining your ideal role to navigating the complexities of applications, they share strategies that will set you up for success. Whether you’re starting your search or looking to optimize your approach, this episode provides actionable insights. </p>
<p>Tune in for tips on how to stand out in the data job market, build your network, and maintain your mental health throughout the process. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>More often than not, we start looking for a new job when it’s already too late. We’re unhappy in our current role, and the rush to apply for anything we find online can lead to dissatisfaction down the line. </p>
<p>In this episode, Karen and Cecilia explore a more strategic job search process for data professionals. </p>
<p>From defining your ideal role to navigating the complexities of applications, they share strategies that will set you up for success. Whether you’re starting your search or looking to optimize your approach, this episode provides actionable insights. </p>
<p>Tune in for tips on how to stand out in the data job market, build your network, and maintain your mental health throughout the process. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/pf7st64tjsqxvnmw/Ep127_Data_Job_Search_Hacks_How_to_Land_Your_Dream_Role93phf.mp3" length="36108683" type="audio/mpeg"/>
        <itunes:summary><![CDATA[More often than not, we start looking for a new job when it’s already too late. We’re unhappy in our current role, and the rush to apply for anything we find online can lead to dissatisfaction down the line. 
In this episode, Karen and Cecilia explore a more strategic job search process for data professionals. 
From defining your ideal role to navigating the complexities of applications, they share strategies that will set you up for success. Whether you’re starting your search or looking to optimize your approach, this episode provides actionable insights. 
Tune in for tips on how to stand out in the data job market, build your network, and maintain your mental health throughout the process. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2289</itunes:duration>
                <itunes:episode>129</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.126  Karen’s Recipe for Bold Career Decisions and Thriving in Data</title>
        <itunes:title>Ep.126  Karen’s Recipe for Bold Career Decisions and Thriving in Data</itunes:title>
        <link>https://womenindata.podbean.com/e/ep126-karen-s-recipe-for-bold-career-decisions-and-thriving-in-data/</link>
                    <comments>https://womenindata.podbean.com/e/ep126-karen-s-recipe-for-bold-career-decisions-and-thriving-in-data/#comments</comments>        <pubDate>Wed, 11 Dec 2024 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/e2307764-fb9a-34c3-aace-383d5b3f9590</guid>
                                    <description><![CDATA[<p>What does it take to find your space and thrive in the data industry? </p>
<p>For the last episode of 2024, Lizzie Harris steps into the hosting seat to interview Karen Jean Francois in front of a live audience at Kingfisher. Over the past two years, Karen has made courageous career decisions—voluntarily taking redundancy, leaving a job that wasn’t right for her without having another lined up, and ultimately joining B&amp;Q as a Data Product Manager in a role that stretches her beyond her comfort zone. </p>
<p>In this candid conversation, Karen shares insights on: </p>
<ul>
<li>The emotional and practical side of making bold career moves—and lessons learned </li>
</ul>
<ul>
<li>How networking and relationships can supercharge your data career </li>
</ul>
<ul>
<li>Breaking down misconceptions about what it means to work in data </li>
</ul>
<ul>
<li>Tips for finding mentors and being an ally in the data space </li>
</ul>
<ul>
<li>The journey of starting and hosting a podcast for women in data </li>
</ul>
<p>With audience Q&amp;A and real-world advice, this episode is packed with inspiration for anyone navigating their path in the data world. Don’t miss it! </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>What does it take to find your space and thrive in the data industry? </p>
<p>For the last episode of 2024, Lizzie Harris steps into the hosting seat to interview Karen Jean Francois in front of a live audience at Kingfisher. Over the past two years, Karen has made courageous career decisions—voluntarily taking redundancy, leaving a job that wasn’t right for her without having another lined up, and ultimately joining B&amp;Q as a Data Product Manager in a role that stretches her beyond her comfort zone. </p>
<p>In this candid conversation, Karen shares insights on: </p>
<ul>
<li>The emotional and practical side of making bold career moves—and lessons learned </li>
</ul>
<ul>
<li>How networking and relationships can supercharge your data career </li>
</ul>
<ul>
<li>Breaking down misconceptions about what it means to work in data </li>
</ul>
<ul>
<li>Tips for finding mentors and being an ally in the data space </li>
</ul>
<ul>
<li>The journey of starting and hosting a podcast for women in data </li>
</ul>
<p>With audience Q&amp;A and real-world advice, this episode is packed with inspiration for anyone navigating their path in the data world. Don’t miss it! </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/wiz8ypnhbuwjdpbd/Ep126_Karens_Recipe_for_Bold_Career_Decisions_and_Thriving_in_Dataai09g.mp3" length="37649868" type="audio/mpeg"/>
        <itunes:summary><![CDATA[What does it take to find your space and thrive in the data industry? 
For the last episode of 2024, Lizzie Harris steps into the hosting seat to interview Karen Jean Francois in front of a live audience at Kingfisher. Over the past two years, Karen has made courageous career decisions—voluntarily taking redundancy, leaving a job that wasn’t right for her without having another lined up, and ultimately joining B&amp;Q as a Data Product Manager in a role that stretches her beyond her comfort zone. 
In this candid conversation, Karen shares insights on: 

The emotional and practical side of making bold career moves—and lessons learned 


How networking and relationships can supercharge your data career 


Breaking down misconceptions about what it means to work in data 


Tips for finding mentors and being an ally in the data space 


The journey of starting and hosting a podcast for women in data 

With audience Q&amp;A and real-world advice, this episode is packed with inspiration for anyone navigating their path in the data world. Don’t miss it! ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2352</itunes:duration>
                <itunes:episode>128</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Bringing Gender Parity to the Data Industry: Celebrating Women in Data's 10 Years Anniversary</title>
        <itunes:title>Bringing Gender Parity to the Data Industry: Celebrating Women in Data's 10 Years Anniversary</itunes:title>
        <link>https://womenindata.podbean.com/e/bringing-gender-parity-to-the-data-industry-celebrating-women-in-datas-10-years-anniversary/</link>
                    <comments>https://womenindata.podbean.com/e/bringing-gender-parity-to-the-data-industry-celebrating-women-in-datas-10-years-anniversary/#comments</comments>        <pubDate>Wed, 27 Nov 2024 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/aaaf2f74-71e1-3628-b85f-164b463d1ea1</guid>
                                    <description><![CDATA[<p>As a recruitment leader, Roisin McCarthy noticed that her team was placing less and less women in data related roles year on year. She kept hearing stories of women being passed over for promotion. So she set on a mission to bring gender parity in the data industry. 10 years later, Women in Data has become a powerful force, advocating for women and creating spaces where they can excel. In this episode, Roisin raconts her inspiring journey, highlights key milestones, from representing the community at influential policy discussions to growing retention rates among senior female leaders. While there’s been progress, with women now holding 19% of top data roles, challenges remain, especially in reducing talent loss and bridging the gender pay gap. Roisin’s vision is clear: a future where gender parity is the norm, and where Women in Data continues to empower every woman in the field. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>As a recruitment leader, Roisin McCarthy noticed that her team was placing less and less women in data related roles year on year. She kept hearing stories of women being passed over for promotion. So she set on a mission to bring gender parity in the data industry. 10 years later, Women in Data has become a powerful force, advocating for women and creating spaces where they can excel. In this episode, Roisin raconts her inspiring journey, highlights key milestones, from representing the community at influential policy discussions to growing retention rates among senior female leaders. While there’s been progress, with women now holding 19% of top data roles, challenges remain, especially in reducing talent loss and bridging the gender pay gap. Roisin’s vision is clear: a future where gender parity is the norm, and where Women in Data continues to empower every woman in the field. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/kgb4zztc99xw7bz7/Ep125_Bringing_Gender_Parity_to_the_Data_Industry-_Celebrating_Women_in_Datas_10_Years_Anniversarya54i8.mp3" length="27644543" type="audio/mpeg"/>
        <itunes:summary><![CDATA[As a recruitment leader, Roisin McCarthy noticed that her team was placing less and less women in data related roles year on year. She kept hearing stories of women being passed over for promotion. So she set on a mission to bring gender parity in the data industry. 10 years later, Women in Data has become a powerful force, advocating for women and creating spaces where they can excel. In this episode, Roisin raconts her inspiring journey, highlights key milestones, from representing the community at influential policy discussions to growing retention rates among senior female leaders. While there’s been progress, with women now holding 19% of top data roles, challenges remain, especially in reducing talent loss and bridging the gender pay gap. Roisin’s vision is clear: a future where gender parity is the norm, and where Women in Data continues to empower every woman in the field. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1974</itunes:duration>
                <itunes:episode>127</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.124 Empowered by Neurodiversity</title>
        <itunes:title>Ep.124 Empowered by Neurodiversity</itunes:title>
        <link>https://womenindata.podbean.com/e/ep124-empowered-by-neurodiversity/</link>
                    <comments>https://womenindata.podbean.com/e/ep124-empowered-by-neurodiversity/#comments</comments>        <pubDate>Wed, 13 Nov 2024 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/05c5e8be-5373-32d7-8812-444d66bf5730</guid>
                                    <description><![CDATA[<p>In this episode, Cecilia is joined by Konstantina Kapetanidi and Anna O'Donohue to talk about how embracing neurodiversity can bring unique strengths and perspectives to the workforce, as well as to day-to-day life. They share personal experiences with neurodiversity, discuss the importance of diagnosis, and address workplace challenges such as misinformation and inclusion. Having recently ran a successful lunch and learn on the topic with Women in data recently, they continue the conversation and dive into questions they didn’t have time to answer during the event.  </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Cecilia is joined by Konstantina Kapetanidi and Anna O'Donohue to talk about how embracing neurodiversity can bring unique strengths and perspectives to the workforce, as well as to day-to-day life. They share personal experiences with neurodiversity, discuss the importance of diagnosis, and address workplace challenges such as misinformation and inclusion. Having recently ran a successful lunch and learn on the topic with Women in data recently, they continue the conversation and dive into questions they didn’t have time to answer during the event.  </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/843bcjpnmausp8xh/Ep124_Empowered_by_Neurodiversityatkh7.mp3" length="24349736" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Cecilia is joined by Konstantina Kapetanidi and Anna O'Donohue to talk about how embracing neurodiversity can bring unique strengths and perspectives to the workforce, as well as to day-to-day life. They share personal experiences with neurodiversity, discuss the importance of diagnosis, and address workplace challenges such as misinformation and inclusion. Having recently ran a successful lunch and learn on the topic with Women in data recently, they continue the conversation and dive into questions they didn’t have time to answer during the event.  ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1739</itunes:duration>
                <itunes:episode>125</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.123  Elevate Your Career: Growth Mindset, Strategic Networking, and the Power of Curiosity</title>
        <itunes:title>Ep.123  Elevate Your Career: Growth Mindset, Strategic Networking, and the Power of Curiosity</itunes:title>
        <link>https://womenindata.podbean.com/e/ep123-elevate-your-career-growth-mindset-strategic-networking-and-the-power-of-curiosity/</link>
                    <comments>https://womenindata.podbean.com/e/ep123-elevate-your-career-growth-mindset-strategic-networking-and-the-power-of-curiosity/#comments</comments>        <pubDate>Wed, 30 Oct 2024 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/b759b0b5-ad96-375d-a818-a9880d729f3c</guid>
                                    <description><![CDATA[<p>In this episode, Jade Emmanuel, a Customer Science Analyst, reveals how she took ownership of her career by starting with curiosity and pursuing what excites her. You'll get actionable advice on how to take control of your own career, whether it's through engaging in curious conversations, shadowing others, or approaching senior leaders with confidence. Learn how to leverage informal learning experiences and develop a growth mindset to create opportunities and build strategic relationships that elevate your professional journey. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Jade Emmanuel, a Customer Science Analyst, reveals how she took ownership of her career by starting with curiosity and pursuing what excites her. You'll get actionable advice on how to take control of your own career, whether it's through engaging in curious conversations, shadowing others, or approaching senior leaders with confidence. Learn how to leverage informal learning experiences and develop a growth mindset to create opportunities and build strategic relationships that elevate your professional journey. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/a5pi3g5f9gwiu5b5/Ep123_Elevate_Your_Career-_Growth_Mindset_Strategic_Networking_and_the_Power_of_Curiosity6r4gg.mp3" length="28838089" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Jade Emmanuel, a Customer Science Analyst, reveals how she took ownership of her career by starting with curiosity and pursuing what excites her. You'll get actionable advice on how to take control of your own career, whether it's through engaging in curious conversations, shadowing others, or approaching senior leaders with confidence. Learn how to leverage informal learning experiences and develop a growth mindset to create opportunities and build strategic relationships that elevate your professional journey. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1802</itunes:duration>
                <itunes:episode>126</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.122 Feeling Like a Fraud? Here’s How to Overcome Imposter Syndrome</title>
        <itunes:title>Ep.122 Feeling Like a Fraud? Here’s How to Overcome Imposter Syndrome</itunes:title>
        <link>https://womenindata.podbean.com/e/ep122-feeling-like-a-fraud-here-s-how-to-overcome-imposter-syndrome/</link>
                    <comments>https://womenindata.podbean.com/e/ep122-feeling-like-a-fraud-here-s-how-to-overcome-imposter-syndrome/#comments</comments>        <pubDate>Wed, 16 Oct 2024 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/0c291438-86da-3d12-b1cf-78170f221486</guid>
                                    <description><![CDATA[<p>Did you know that 70% of adults will experience imposter syndrome at least once in their lives?  </p>
<p>In this two-part episode, Karen dives deep into the world of imposter syndrome, exploring how it impacts professionals and how to break free from its grip. </p>
<p>In Part 1, Holly Wall, a Data Governance Analyst, candidly shares her personal battle with imposter syndrome. She opens up about the challenges she faced, the self-doubt she’s overcome, and how it has shaped her career in data. </p>
<p>In Part 2, Michelle Hall, a Data Leader and Career &amp; Leadership Coach, recounts her own fears—once afraid of being exposed as a fraud and even escorted off the premises. Michelle offers invaluable advice on how to conquer these feelings and unlock your full potential. </p>
<p>Tune in to learn how to: </p>
<ul><li>Manage the overwhelming feelings of imposter syndrome </li>
</ul>
<ul><li>Confidently discuss these feelings with your manager without diminishing your credibility </li>
</ul>
<ul><li>Build lasting confidence while navigating the complexities of a career in data </li>
</ul>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Did you know that 70% of adults will experience imposter syndrome at least once in their lives?  </p>
<p>In this two-part episode, Karen dives deep into the world of imposter syndrome, exploring how it impacts professionals and how to break free from its grip. </p>
<p>In Part 1, Holly Wall, a Data Governance Analyst, candidly shares her personal battle with imposter syndrome. She opens up about the challenges she faced, the self-doubt she’s overcome, and how it has shaped her career in data. </p>
<p>In Part 2, Michelle Hall, a Data Leader and Career &amp; Leadership Coach, recounts her own fears—once afraid of being exposed as a fraud and even escorted off the premises. Michelle offers invaluable advice on how to conquer these feelings and unlock your full potential. </p>
<p>Tune in to learn how to: </p>
<ul><li>Manage the overwhelming feelings of imposter syndrome </li>
</ul>
<ul><li>Confidently discuss these feelings with your manager without diminishing your credibility </li>
</ul>
<ul><li>Build lasting confidence while navigating the complexities of a career in data </li>
</ul>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/pw3d5g4qi3bu2pfr/Ep122_-_Feeling_Like_a_Fraud_Heres_How_to_Overcome_Imposter_Syndrome7rz7f.mp3" length="28474030" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Did you know that 70% of adults will experience imposter syndrome at least once in their lives?  
In this two-part episode, Karen dives deep into the world of imposter syndrome, exploring how it impacts professionals and how to break free from its grip. 
In Part 1, Holly Wall, a Data Governance Analyst, candidly shares her personal battle with imposter syndrome. She opens up about the challenges she faced, the self-doubt she’s overcome, and how it has shaped her career in data. 
In Part 2, Michelle Hall, a Data Leader and Career &amp; Leadership Coach, recounts her own fears—once afraid of being exposed as a fraud and even escorted off the premises. Michelle offers invaluable advice on how to conquer these feelings and unlock your full potential. 
Tune in to learn how to: 
Manage the overwhelming feelings of imposter syndrome 
Confidently discuss these feelings with your manager without diminishing your credibility 
Build lasting confidence while navigating the complexities of a career in data 
 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2033</itunes:duration>
                <itunes:episode>124</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.121 - Strategies for Building a Learning Culture in Data Teams - Jackie Clayton</title>
        <itunes:title>Ep.121 - Strategies for Building a Learning Culture in Data Teams - Jackie Clayton</itunes:title>
        <link>https://womenindata.podbean.com/e/ep121-strategies-for-building-a-learning-culture-in-data-teams-jackie-clayton/</link>
                    <comments>https://womenindata.podbean.com/e/ep121-strategies-for-building-a-learning-culture-in-data-teams-jackie-clayton/#comments</comments>        <pubDate>Wed, 02 Oct 2024 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/97a9d424-e0a6-3266-90ec-3092ff05e45b</guid>
                                    <description><![CDATA[<p>In this episode, Jackie Clayton, Analytics &amp; Data Science Lead at Mars, discusses creating effective learning cultures in data teams. Drawing from her experience establishing data academies, Jackie shares insights on: </p>
<ul><li>Integrating learning into daily work </li>
</ul>
<ul><li>Making the most of your learning budget </li>
</ul>
<ul><li>Learning without having to spend money for it </li>
</ul>
<ul><li>Involving all team members in the learning process </li>
</ul>
<ul><li>Extending data education across organisations </li>
</ul>
<p>She offers practical advice for fostering a learning environment in both large and small teams, emphasising the importance of aligning learning with business goals and sharing knowledge. Jackie also touches on how one can strategically use learning budgets when available. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Jackie Clayton, Analytics &amp; Data Science Lead at Mars, discusses creating effective learning cultures in data teams. Drawing from her experience establishing data academies, Jackie shares insights on: </p>
<ul><li>Integrating learning into daily work </li>
</ul>
<ul><li>Making the most of your learning budget </li>
</ul>
<ul><li>Learning without having to spend money for it </li>
</ul>
<ul><li>Involving all team members in the learning process </li>
</ul>
<ul><li>Extending data education across organisations </li>
</ul>
<p>She offers practical advice for fostering a learning environment in both large and small teams, emphasising the importance of aligning learning with business goals and sharing knowledge. Jackie also touches on how one can strategically use learning budgets when available. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/6pc44msrxncptkxk/Ep121-_Strategies_for_Building_a_Learning_Culture_in_Data_Teams732fo.mp3" length="26044362" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Jackie Clayton, Analytics &amp; Data Science Lead at Mars, discusses creating effective learning cultures in data teams. Drawing from her experience establishing data academies, Jackie shares insights on: 
Integrating learning into daily work 
Making the most of your learning budget 
Learning without having to spend money for it 
Involving all team members in the learning process 
Extending data education across organisations 
She offers practical advice for fostering a learning environment in both large and small teams, emphasising the importance of aligning learning with business goals and sharing knowledge. Jackie also touches on how one can strategically use learning budgets when available. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1627</itunes:duration>
                <itunes:episode>123</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.120 Ditch the Guilt: Your Stress Management Doesn't Have to Look Like Everyone Else's</title>
        <itunes:title>Ep.120 Ditch the Guilt: Your Stress Management Doesn't Have to Look Like Everyone Else's</itunes:title>
        <link>https://womenindata.podbean.com/e/ep120-ditch-the-guilt-your-stress-management-doesnt-have-to-look-like-everyone-elses/</link>
                    <comments>https://womenindata.podbean.com/e/ep120-ditch-the-guilt-your-stress-management-doesnt-have-to-look-like-everyone-elses/#comments</comments>        <pubDate>Wed, 18 Sep 2024 22:18:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/ac7e1ac6-3f03-3223-9da4-fa70f9e77808</guid>
                                    <description><![CDATA[<p>Two data professionals get real about managing stress and finding work-life balance in a rapidly changing world. From failed meditation attempts to CrossFit obsessions, Cecilia and Karen share their personal journeys of discovering what actually works for them to stay sane in high-pressure tech careers. With candid humour, they discuss the pressures of "self-care" culture, the importance of setting boundaries at work, and their go-to strategies for decompressing - which aren't always what you'd expect. Whether you're struggling to step away from your desk or searching for your own stress-busting routine, this relatable conversation offers practical tips and a reminder that there's no one-size-fits-all solution to finding balance. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Two data professionals get real about managing stress and finding work-life balance in a rapidly changing world. From failed meditation attempts to CrossFit obsessions, Cecilia and Karen share their personal journeys of discovering what actually works for them to stay sane in high-pressure tech careers. With candid humour, they discuss the pressures of "self-care" culture, the importance of setting boundaries at work, and their go-to strategies for decompressing - which aren't always what you'd expect. Whether you're struggling to step away from your desk or searching for your own stress-busting routine, this relatable conversation offers practical tips and a reminder that there's no one-size-fits-all solution to finding balance. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/4qcygk3hs43w78dw/Ep120_Ditch_the_Guilt_Your_Stress_Management_Doesnt_Have_to_Look_Like_Everyone_Elsesblj6c.mp3" length="20885479" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Two data professionals get real about managing stress and finding work-life balance in a rapidly changing world. From failed meditation attempts to CrossFit obsessions, Cecilia and Karen share their personal journeys of discovering what actually works for them to stay sane in high-pressure tech careers. With candid humour, they discuss the pressures of "self-care" culture, the importance of setting boundaries at work, and their go-to strategies for decompressing - which aren't always what you'd expect. Whether you're struggling to step away from your desk or searching for your own stress-busting routine, this relatable conversation offers practical tips and a reminder that there's no one-size-fits-all solution to finding balance. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1491</itunes:duration>
                <itunes:episode>121</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.119 Nadia Zaheer - Proving Your Worth in Data Science: Expert Tips on Adding Value</title>
        <itunes:title>Ep.119 Nadia Zaheer - Proving Your Worth in Data Science: Expert Tips on Adding Value</itunes:title>
        <link>https://womenindata.podbean.com/e/ep119-nadia-zaheer-proving-your-worth-in-data-science-expert-tips-on-adding-value/</link>
                    <comments>https://womenindata.podbean.com/e/ep119-nadia-zaheer-proving-your-worth-in-data-science-expert-tips-on-adding-value/#comments</comments>        <pubDate>Wed, 04 Sep 2024 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/7d380222-9ac8-3c44-8e5a-760a4edf519f</guid>
                                    <description><![CDATA[<p>In this episode, Karen and Dr. Nadia Zaheer tackle one of the most important topics in data: ensuring and demonstrating the value of data science work. Nadia shares practical strategies for prioritising projects using impact vs. effort matrices, the importance of quantifying results, and effective ways to communicate value to stakeholders. She emphasises the need for data professionals to understand how their work fits into the bigger business picture and contributes to revenue growth or cost reduction. She also offers advice on overcoming imposter syndrome and the importance of continuously learning and adapting in the fast-evolving field of data science. This conversation is packed with actionable tips for data professionals looking to enhance their impact and advance their careers. </p>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Karen and Dr. Nadia Zaheer tackle one of the most important topics in data: ensuring and demonstrating the value of data science work. Nadia shares practical strategies for prioritising projects using impact vs. effort matrices, the importance of quantifying results, and effective ways to communicate value to stakeholders. She emphasises the need for data professionals to understand how their work fits into the bigger business picture and contributes to revenue growth or cost reduction. She also offers advice on overcoming imposter syndrome and the importance of continuously learning and adapting in the fast-evolving field of data science. This conversation is packed with actionable tips for data professionals looking to enhance their impact and advance their careers. </p>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/jzxxnmzwhdqda4un/Ep119_Nadia_Zaheer_-_Proving_Your_Worth_in_Data_Science_Expert_Tips_on_Adding_Valueam39c.mp3" length="26267856" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Karen and Dr. Nadia Zaheer tackle one of the most important topics in data: ensuring and demonstrating the value of data science work. Nadia shares practical strategies for prioritising projects using impact vs. effort matrices, the importance of quantifying results, and effective ways to communicate value to stakeholders. She emphasises the need for data professionals to understand how their work fits into the bigger business picture and contributes to revenue growth or cost reduction. She also offers advice on overcoming imposter syndrome and the importance of continuously learning and adapting in the fast-evolving field of data science. This conversation is packed with actionable tips for data professionals looking to enhance their impact and advance their careers. 
 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1641</itunes:duration>
                <itunes:episode>122</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How I Got Into Data 5/5 - Padma's Journey to Data Engineering After a 20-Year Career Break</title>
        <itunes:title>How I Got Into Data 5/5 - Padma's Journey to Data Engineering After a 20-Year Career Break</itunes:title>
        <link>https://womenindata.podbean.com/e/how-i-got-into-data-55-padmas-journey-to-data-engineering-after-a-20-year-career-break/</link>
                    <comments>https://womenindata.podbean.com/e/how-i-got-into-data-55-padmas-journey-to-data-engineering-after-a-20-year-career-break/#comments</comments>        <pubDate>Wed, 28 Aug 2024 19:39:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/2de22152-a0b3-3339-be1e-d3a28abfb5e5</guid>
                                    <description><![CDATA[<p>For the last episode of this summer mini series, we have a truly inspiring guest, Padma Varatharajan, who recently transitioned back into the workforce after a career break of over 20 years.</p>
<p>She shares her incredible journey from raising her son to becoming a data engineer at Cap Gemini. We delve into the challenges she faced re-entering the workforce, the steps she took to rediscover her passion for data, and how a supportive community played a crucial role in her success. Whether you’re looking for inspiration to start your own career in data or just love hearing stories of incredible women, this episode is for you. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>For the last episode of this summer mini series, we have a truly inspiring guest, Padma Varatharajan, who recently transitioned back into the workforce after a career break of over 20 years.</p>
<p>She shares her incredible journey from raising her son to becoming a data engineer at Cap Gemini. We delve into the challenges she faced re-entering the workforce, the steps she took to rediscover her passion for data, and how a supportive community played a crucial role in her success. Whether you’re looking for inspiration to start your own career in data or just love hearing stories of incredible women, this episode is for you. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/3sjvi6becm7jkm8e/How_I_Got_Into_Data_-_Padma_s_Journey_to_Data_Engineering_After_a_20-Year_Career_Break6krzt.mp3" length="9518260" type="audio/mpeg"/>
        <itunes:summary><![CDATA[For the last episode of this summer mini series, we have a truly inspiring guest, Padma Varatharajan, who recently transitioned back into the workforce after a career break of over 20 years.
She shares her incredible journey from raising her son to becoming a data engineer at Cap Gemini. We delve into the challenges she faced re-entering the workforce, the steps she took to rediscover her passion for data, and how a supportive community played a crucial role in her success. Whether you’re looking for inspiration to start your own career in data or just love hearing stories of incredible women, this episode is for you. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>679</itunes:duration>
                <itunes:episode>120</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How I Got Into Data 4/5- Karyna Naminas' Journey from Customer Support to Tech Leadership</title>
        <itunes:title>How I Got Into Data 4/5- Karyna Naminas' Journey from Customer Support to Tech Leadership</itunes:title>
        <link>https://womenindata.podbean.com/e/how-i-got-into-data-45-karyna-naminas-journey-from-customer-support-to-tech-leadership/</link>
                    <comments>https://womenindata.podbean.com/e/how-i-got-into-data-45-karyna-naminas-journey-from-customer-support-to-tech-leadership/#comments</comments>        <pubDate>Wed, 21 Aug 2024 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/5f96a24f-7337-3750-8205-b617725fc375</guid>
                                    <description><![CDATA[<p>Cecilia is chatting today with Karina Naminas, the CEO of Label Your Data. Karina's journey is a fascinating one, beginning with liberal arts and journalism and evolving into a leadership role in the tech industry. She started her career in customer support, took on various roles, and eventually co-founded a company specializing in data annotation for AI development. We'll explore her unique path, the pivotal moments that shaped her career, and the lessons she learned along the way.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Cecilia is chatting today with Karina Naminas, the CEO of Label Your Data. Karina's journey is a fascinating one, beginning with liberal arts and journalism and evolving into a leadership role in the tech industry. She started her career in customer support, took on various roles, and eventually co-founded a company specializing in data annotation for AI development. We'll explore her unique path, the pivotal moments that shaped her career, and the lessons she learned along the way.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/ep7ugetxv749h4hs/How_I_Got_Into_Data_4_5-_Karyna_Naminas_Journey_from_Customer_Support_to_Tech_Leadershipb1q32.mp3" length="15309886" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Cecilia is chatting today with Karina Naminas, the CEO of Label Your Data. Karina's journey is a fascinating one, beginning with liberal arts and journalism and evolving into a leadership role in the tech industry. She started her career in customer support, took on various roles, and eventually co-founded a company specializing in data annotation for AI development. We'll explore her unique path, the pivotal moments that shaped her career, and the lessons she learned along the way.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1093</itunes:duration>
                <itunes:episode>119</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How I Got Into Data 3/5 - Savannah's Journey from Medical Science to Data Analytics</title>
        <itunes:title>How I Got Into Data 3/5 - Savannah's Journey from Medical Science to Data Analytics</itunes:title>
        <link>https://womenindata.podbean.com/e/how-i-got-into-data-35-savannahs-journey-from-medical-science-to-data-analytics/</link>
                    <comments>https://womenindata.podbean.com/e/how-i-got-into-data-35-savannahs-journey-from-medical-science-to-data-analytics/#comments</comments>        <pubDate>Wed, 14 Aug 2024 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/754ffdab-9f17-3b0b-b445-d7018d872095</guid>
                                    <description><![CDATA[<p>Cecilia chats with Savannah Brown, who shares her incredible journey from the medical field to becoming a data and insight analyst. </p>
<p>This episode promises to be filled with valuable insights and inspiration, especially for those considering a major career transition. Savannah's story highlights the power of transferable skills and the endless possibilities within the data industry.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Cecilia chats with Savannah Brown, who shares her incredible journey from the medical field to becoming a data and insight analyst. </p>
<p>This episode promises to be filled with valuable insights and inspiration, especially for those considering a major career transition. Savannah's story highlights the power of transferable skills and the endless possibilities within the data industry.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/ckx57pd6qjcbyars/How_I_Got_Into_Data_-_Savannah_s_Journey_from_Medical_Science_to_Data_Analytics9gna0.mp3" length="9928700" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Cecilia chats with Savannah Brown, who shares her incredible journey from the medical field to becoming a data and insight analyst. 
This episode promises to be filled with valuable insights and inspiration, especially for those considering a major career transition. Savannah's story highlights the power of transferable skills and the endless possibilities within the data industry.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>708</itunes:duration>
                <itunes:episode>118</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How I Got Into Data 2/5  - Carla's Journey from the Mining Industry to Data Entrepreneurship</title>
        <itunes:title>How I Got Into Data 2/5  - Carla's Journey from the Mining Industry to Data Entrepreneurship</itunes:title>
        <link>https://womenindata.podbean.com/e/how-i-got-into-data-25-carlas-journey-from-the-mining-industry-to-data-entrepreneurship/</link>
                    <comments>https://womenindata.podbean.com/e/how-i-got-into-data-25-carlas-journey-from-the-mining-industry-to-data-entrepreneurship/#comments</comments>        <pubDate>Wed, 07 Aug 2024 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/0f24fabe-c9d8-3437-9c34-9fa404271677</guid>
                                    <description><![CDATA[<p>Today, Cecilia has a very special guest: Carla Rodriguez. Carla and Cecilia go way back to our days in hospitality school, and over the years, they've both transitioned into the world of data. In this episode, they’ll dive into Carla’s fascinating journey from hospitality in the mining industry to becoming a successful entrepreneur in the data field. We'll also discuss the challenges she faced as a woman in a male-dominated industry and the invaluable lessons she learned along the way. Get ready for an inspiring conversation that highlights the power of trusting yourself and embracing change. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Today, Cecilia has a very special guest: Carla Rodriguez. Carla and Cecilia go way back to our days in hospitality school, and over the years, they've both transitioned into the world of data. In this episode, they’ll dive into Carla’s fascinating journey from hospitality in the mining industry to becoming a successful entrepreneur in the data field. We'll also discuss the challenges she faced as a woman in a male-dominated industry and the invaluable lessons she learned along the way. Get ready for an inspiring conversation that highlights the power of trusting yourself and embracing change. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/jej5iacak9crzs6q/How_I_Got_Into_Data_-_Carlas_Journey_from_the_Mining_Industry_to_Data_Entrepreneurship9rvsm.mp3" length="10667604" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Today, Cecilia has a very special guest: Carla Rodriguez. Carla and Cecilia go way back to our days in hospitality school, and over the years, they've both transitioned into the world of data. In this episode, they’ll dive into Carla’s fascinating journey from hospitality in the mining industry to becoming a successful entrepreneur in the data field. We'll also discuss the challenges she faced as a woman in a male-dominated industry and the invaluable lessons she learned along the way. Get ready for an inspiring conversation that highlights the power of trusting yourself and embracing change. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>761</itunes:duration>
                <itunes:episode>117</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How I got into data 1/5  - Elodie's Journey from Teacher to Lead Data Scientist</title>
        <itunes:title>How I got into data 1/5  - Elodie's Journey from Teacher to Lead Data Scientist</itunes:title>
        <link>https://womenindata.podbean.com/e/how-i-got-into-data-15-elodies-journey-from-teacher-to-lead-data-scientist/</link>
                    <comments>https://womenindata.podbean.com/e/how-i-got-into-data-15-elodies-journey-from-teacher-to-lead-data-scientist/#comments</comments>        <pubDate>Wed, 31 Jul 2024 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/3d949a0f-71b4-37fc-9bf8-8797a57a6834</guid>
                                    <description><![CDATA[<p>In August, Cecilia is taking the reins of the podcast in a mini series featuring women who transitioned into data from a different career.</p>
<p>For the first episode of this mini series, Cecilia speaks to Elodie Hudson. Elodie transitioned into data in 2023 from being a teacher for 16 years and also working in Science to become a Lead Data Scientist at a technology and training company for the railway industry. She has an incredible and inspiring journey about career change. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In August, Cecilia is taking the reins of the podcast in a mini series featuring women who transitioned into data from a different career.</p>
<p>For the first episode of this mini series, Cecilia speaks to Elodie Hudson. Elodie transitioned into data in 2023 from being a teacher for 16 years and also working in Science to become a Lead Data Scientist at a technology and training company for the railway industry. She has an incredible and inspiring journey about career change. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/jjtcnddygw9kaggk/How_I_got_into_data_-_Elodie_s_Journey_from_Teacher_to_Lead_Data_Scientist8rwtc.mp3" length="12731680" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In August, Cecilia is taking the reins of the podcast in a mini series featuring women who transitioned into data from a different career.
For the first episode of this mini series, Cecilia speaks to Elodie Hudson. Elodie transitioned into data in 2023 from being a teacher for 16 years and also working in Science to become a Lead Data Scientist at a technology and training company for the railway industry. She has an incredible and inspiring journey about career change. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>909</itunes:duration>
                <itunes:episode>116</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.113 Unlocking Success in Data: A Journey of Resilience and Community Impact</title>
        <itunes:title>Ep.113 Unlocking Success in Data: A Journey of Resilience and Community Impact</itunes:title>
        <link>https://womenindata.podbean.com/e/ep113-unlocking-success-in-data-a-journey-of-resilience-and-community-impact/</link>
                    <comments>https://womenindata.podbean.com/e/ep113-unlocking-success-in-data-a-journey-of-resilience-and-community-impact/#comments</comments>        <pubDate>Wed, 17 Jul 2024 19:35:00 +0200</pubDate>
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                                    <description><![CDATA[<p>In this episode, Cecilia takes the reins as solo host for the first time. She interviews Jennifer Mezzio, the Global HR Data Officer at First Citizens Bank and the Strategic Community Executive Director for Women in Data in the US, who shares her inspiring journey from bank teller to data leader. Jennifer recounts her pivotal experiences at Silicon Valley Bank, where she played a crucial role in developing the HR Data Office, especially during the bank's collapse in March 2023. She emphasizes the importance of self-care and maintaining one's identity beyond the job.

Jennifer discusses her impactful work in the data community, sparked by her article on women in the field and her connection with the organization's founder, Roisin. Her efforts aim to expand the community's presence in North America, mirroring its success in the UK and India.

The conversation also covers how yoga helps manage stress, the significance of community in data, and the experiences of women in male-dominated industries. Tune in for an inspiring discussion on career resilience, community building, and personal growth.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Cecilia takes the reins as solo host for the first time. She interviews Jennifer Mezzio, the Global HR Data Officer at First Citizens Bank and the Strategic Community Executive Director for Women in Data in the US, who shares her inspiring journey from bank teller to data leader. Jennifer recounts her pivotal experiences at Silicon Valley Bank, where she played a crucial role in developing the HR Data Office, especially during the bank's collapse in March 2023. She emphasizes the importance of self-care and maintaining one's identity beyond the job.<br>
<br>
Jennifer discusses her impactful work in the data community, sparked by her article on women in the field and her connection with the organization's founder, Roisin. Her efforts aim to expand the community's presence in North America, mirroring its success in the UK and India.<br>
<br>
The conversation also covers how yoga helps manage stress, the significance of community in data, and the experiences of women in male-dominated industries. Tune in for an inspiring discussion on career resilience, community building, and personal growth.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/up6rnjn9i3annw87/Ep113_Unlocking_Success_in_Data_A_Journey_of_Resilience_and_Community_Impactano0t.mp3" length="29536283" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Cecilia takes the reins as solo host for the first time. She interviews Jennifer Mezzio, the Global HR Data Officer at First Citizens Bank and the Strategic Community Executive Director for Women in Data in the US, who shares her inspiring journey from bank teller to data leader. Jennifer recounts her pivotal experiences at Silicon Valley Bank, where she played a crucial role in developing the HR Data Office, especially during the bank's collapse in March 2023. She emphasizes the importance of self-care and maintaining one's identity beyond the job.Jennifer discusses her impactful work in the data community, sparked by her article on women in the field and her connection with the organization's founder, Roisin. Her efforts aim to expand the community's presence in North America, mirroring its success in the UK and India.The conversation also covers how yoga helps manage stress, the significance of community in data, and the experiences of women in male-dominated industries. Tune in for an inspiring discussion on career resilience, community building, and personal growth.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1845</itunes:duration>
                <itunes:episode>115</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.112 Tamanna Haque - Turning Vehicle Data into Gold- A Data Scientist's Journey</title>
        <itunes:title>Ep.112 Tamanna Haque - Turning Vehicle Data into Gold- A Data Scientist's Journey</itunes:title>
        <link>https://womenindata.podbean.com/e/ep112-tamanna-haque-turning-vehicle-data-into-gold-a-data-scientists-journey/</link>
                    <comments>https://womenindata.podbean.com/e/ep112-tamanna-haque-turning-vehicle-data-into-gold-a-data-scientists-journey/#comments</comments>        <pubDate>Wed, 03 Jul 2024 19:35:00 +0200</pubDate>
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                                    <description><![CDATA[<p>This week, Karen and Cecilia speak with Tamanna Haque, a lead data scientist at Jaguar Land Rover, about her career journey from retail to automotive. Tam discusses transitioning into data science from data analytics through self-training, proving the value of data science and AI, and learning to work with larger cloud datasets. She shares insights on overcoming industry transition challenges like new data, culture, and pushback by ensuring her work spoke for itself. Passionate about cars, Tam explains how she leverages connected vehicle data to improve Jaguar Land Rover's products, customer experience, and retailer relationships. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen and Cecilia speak with Tamanna Haque, a lead data scientist at Jaguar Land Rover, about her career journey from retail to automotive. Tam discusses transitioning into data science from data analytics through self-training, proving the value of data science and AI, and learning to work with larger cloud datasets. She shares insights on overcoming industry transition challenges like new data, culture, and pushback by ensuring her work spoke for itself. Passionate about cars, Tam explains how she leverages connected vehicle data to improve Jaguar Land Rover's products, customer experience, and retailer relationships. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/eiih57wzcg8pnst8/Ep112_Tamanna_Haque_-_Turning_Vehicle_Data_into_Gold-_A_Data_Scientists_Journey87fdl.mp3" length="32119058" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen and Cecilia speak with Tamanna Haque, a lead data scientist at Jaguar Land Rover, about her career journey from retail to automotive. Tam discusses transitioning into data science from data analytics through self-training, proving the value of data science and AI, and learning to work with larger cloud datasets. She shares insights on overcoming industry transition challenges like new data, culture, and pushback by ensuring her work spoke for itself. Passionate about cars, Tam explains how she leverages connected vehicle data to improve Jaguar Land Rover's products, customer experience, and retailer relationships. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2007</itunes:duration>
                <itunes:episode>114</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.111 Roshni Daswani - Empowering Career Strategies: Building Confidence</title>
        <itunes:title>Ep.111 Roshni Daswani - Empowering Career Strategies: Building Confidence</itunes:title>
        <link>https://womenindata.podbean.com/e/ep111-roshni-daswani-empowering-career-strategies-building-confidence/</link>
                    <comments>https://womenindata.podbean.com/e/ep111-roshni-daswani-empowering-career-strategies-building-confidence/#comments</comments>        <pubDate>Wed, 19 Jun 2024 19:40:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/28bbf487-4507-333f-b61d-511f6f6a4d11</guid>
                                    <description><![CDATA[<p>In this episode, Karen is joined by Roshni Daswani, Head of Data Strategy and Transformation at a leading consulting firm in the UK. From navigating language barriers and cultural shifts to overcoming challenges in a male-dominated industry, Roshni shares invaluable insights and actionable advice for professionals at every stage of their careers. Join us as we explore the power of resilience, confidence-building, and effective leadership, and learn how to own your career, command any room, and achieve your fullest potential. Whether you're just starting out or a seasoned pro, this conversation is packed with wisdom and inspiration to help you thrive in the world of data and beyond.  </p>
<p> </p>
<p>Find Roshini on LinkedIn: <a href='https://www.linkedin.com/in/roshni-daswani-01b4854a/'>https://www.linkedin.com/in/roshni-daswani-01b4854a/</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Karen is joined by Roshni Daswani, Head of Data Strategy and Transformation at a leading consulting firm in the UK. From navigating language barriers and cultural shifts to overcoming challenges in a male-dominated industry, Roshni shares invaluable insights and actionable advice for professionals at every stage of their careers. Join us as we explore the power of resilience, confidence-building, and effective leadership, and learn how to own your career, command any room, and achieve your fullest potential. Whether you're just starting out or a seasoned pro, this conversation is packed with wisdom and inspiration to help you thrive in the world of data and beyond.  </p>
<p> </p>
<p>Find Roshini on LinkedIn: <a href='https://www.linkedin.com/in/roshni-daswani-01b4854a/'>https://www.linkedin.com/in/roshni-daswani-01b4854a/</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/526hwi8e72rntedw/Ep111_Roshni_Daswani_-_Empowering_Career_Strategies_Building_Confidence65ac2.mp3" length="27202252" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Karen is joined by Roshni Daswani, Head of Data Strategy and Transformation at a leading consulting firm in the UK. From navigating language barriers and cultural shifts to overcoming challenges in a male-dominated industry, Roshni shares invaluable insights and actionable advice for professionals at every stage of their careers. Join us as we explore the power of resilience, confidence-building, and effective leadership, and learn how to own your career, command any room, and achieve your fullest potential. Whether you're just starting out or a seasoned pro, this conversation is packed with wisdom and inspiration to help you thrive in the world of data and beyond.  
 
Find Roshini on LinkedIn: https://www.linkedin.com/in/roshni-daswani-01b4854a/]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1699</itunes:duration>
                <itunes:episode>112</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.110 Essential Tips for Better Data Analytics</title>
        <itunes:title>Ep.110 Essential Tips for Better Data Analytics</itunes:title>
        <link>https://womenindata.podbean.com/e/ep110-essential-tips-for-better-data-analytics/</link>
                    <comments>https://womenindata.podbean.com/e/ep110-essential-tips-for-better-data-analytics/#comments</comments>        <pubDate>Wed, 05 Jun 2024 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/90e34b1d-3b61-36f8-b8ab-c86917b96a30</guid>
                                    <description><![CDATA[<p>Join Karen and Cecilia as they discuss common pitfalls in data analytics and how to avoid them. From understanding the request and sense-checking numbers to documenting code and providing regular updates, they share personal stories and tips to help you refine your data analytics skills or support others in delivering impactful insights. Don't miss this insightful episode packed with practical advice! </p>
<p> </p>
<p>Follow Karen on LinkedIn:<a href='https://www.linkedin.com/in/karen-jean-francois/'>https://www.linkedin.com/in/karen-jean-francois/</a></p>
<p>Follow Cecilia n LinkedIn: <a href='https://www.linkedin.com/in/ceciliagoliveira/'>https://www.linkedin.com/in/ceciliagoliveira/</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Join Karen and Cecilia as they discuss common pitfalls in data analytics and how to avoid them. From understanding the request and sense-checking numbers to documenting code and providing regular updates, they share personal stories and tips to help you refine your data analytics skills or support others in delivering impactful insights. Don't miss this insightful episode packed with practical advice! </p>
<p> </p>
<p>Follow Karen on LinkedIn:<a href='https://www.linkedin.com/in/karen-jean-francois/'>https://www.linkedin.com/in/karen-jean-francois/</a></p>
<p>Follow Cecilia n LinkedIn: <a href='https://www.linkedin.com/in/ceciliagoliveira/'>https://www.linkedin.com/in/ceciliagoliveira/</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/kiwgk8bx29h4584n/Ep110_Essential_Tips_for_Better_Data_Analyticsag6fc.mp3" length="30736221" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Join Karen and Cecilia as they discuss common pitfalls in data analytics and how to avoid them. From understanding the request and sense-checking numbers to documenting code and providing regular updates, they share personal stories and tips to help you refine your data analytics skills or support others in delivering impactful insights. Don't miss this insightful episode packed with practical advice! 
 
Follow Karen on LinkedIn:https://www.linkedin.com/in/karen-jean-francois/
Follow Cecilia n LinkedIn: https://www.linkedin.com/in/ceciliagoliveira/]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1920</itunes:duration>
                <itunes:episode>113</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.109 Rachel Escott - Data Trailblazer: Rachels Unconventional Journey</title>
        <itunes:title>Ep.109 Rachel Escott - Data Trailblazer: Rachels Unconventional Journey</itunes:title>
        <link>https://womenindata.podbean.com/e/ep109-rachel-escott-data-trailblazer-rachels-unconventional-journey/</link>
                    <comments>https://womenindata.podbean.com/e/ep109-rachel-escott-data-trailblazer-rachels-unconventional-journey/#comments</comments>        <pubDate>Wed, 22 May 2024 19:40:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/886ab60f-07d5-356f-9bed-3afd28b17f4c</guid>
                                    <description><![CDATA[<p>In this episode of the Women in Data podcast, Karen and Cecilia are joined by Rachel Escott, Director of Development at FIS. Rachel discusses her somewhat unorthodox journey into a data leadership role via a Danish brewery and Kent farm. The group also discuss taking a career break, particularly due to childcare commitments, and how to navigate a return to a full-time role. Rachel offers practical advice on working with a younger cohort and the advantages of leveraging corporate programmes designed to help people who have taken a career break.  Listen to learn Rachel's fascinating career so far and gain insight on how to manage career breaks and successfully return to the office after a long absence. </p>
<p> </p>
<p>Find Rachel on LinkedIn: <a href='https://www.linkedin.com/in/rachel-escott/'>https://www.linkedin.com/in/rachel-escott/</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode of the Women in Data podcast, Karen and Cecilia are joined by Rachel Escott, Director of Development at FIS. Rachel discusses her somewhat unorthodox journey into a data leadership role via a Danish brewery and Kent farm. The group also discuss taking a career break, particularly due to childcare commitments, and how to navigate a return to a full-time role. Rachel offers practical advice on working with a younger cohort and the advantages of leveraging corporate programmes designed to help people who have taken a career break. <br class="SCXW66666926 BCX0" /> <br class="SCXW66666926 BCX0" />Listen to learn Rachel's fascinating career so far and gain insight on how to manage career breaks and successfully return to the office after a long absence. </p>
<p> </p>
<p>Find Rachel on LinkedIn: <a href='https://www.linkedin.com/in/rachel-escott/'>https://www.linkedin.com/in/rachel-escott/</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/t9fqpp9iejd8u6bt/Ep109_Rachel_Escott_-_Data_Trailblazer_Rachels_Unconventional_Journey7s6cx.mp3" length="40086306" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode of the Women in Data podcast, Karen and Cecilia are joined by Rachel Escott, Director of Development at FIS. Rachel discusses her somewhat unorthodox journey into a data leadership role via a Danish brewery and Kent farm. The group also discuss taking a career break, particularly due to childcare commitments, and how to navigate a return to a full-time role. Rachel offers practical advice on working with a younger cohort and the advantages of leveraging corporate programmes designed to help people who have taken a career break.  Listen to learn Rachel's fascinating career so far and gain insight on how to manage career breaks and successfully return to the office after a long absence. 
 
Find Rachel on LinkedIn: https://www.linkedin.com/in/rachel-escott/]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2505</itunes:duration>
                <itunes:episode>111</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.108 Pranjali's Guide to Securing Your First Data Science Role</title>
        <itunes:title>Ep.108 Pranjali's Guide to Securing Your First Data Science Role</itunes:title>
        <link>https://womenindata.podbean.com/e/ep108-pranjalis-guide-to-securing-your-first-data-science-role/</link>
                    <comments>https://womenindata.podbean.com/e/ep108-pranjalis-guide-to-securing-your-first-data-science-role/#comments</comments>        <pubDate>Wed, 08 May 2024 19:38:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/4c6bb5c7-74d5-3f50-b850-c5ddf1ae2f68</guid>
                                    <description><![CDATA[<p>In this episode of the Women in Data podcast, we dive deep into the remarkable career of Pranjali Ajay Parse, a data scientist at Autodesk, as she shares her journey into the dynamic world of data science. This episode is a must for anybody who wishes to land their first data science role. </p>
<p> </p>
<p>Pranjali outlines her journey from mobile app development to the emerging world of data science which was booming across a range of industries, recounts her journey from India to the USA and explains the power of courses, education and internships to get a role. Pranjali also explains of the power of taking on leadership roles, including hers as an ambassador for women in data science with a major US college. 
 
Listen to learn practical tips on how to land your first data science role and discover Pranjali’s unique journey into the data space and her transition between cultures. </p>
<p> </p>
<p>Pranjali on LinkedIn: <a href='https://www.linkedin.com/in/pranjali-ajay-parse/'>https://www.linkedin.com/in/pranjali-ajay-parse/ </a></p>
<p>Get mentored by Pranjali - <a href='https://topmate.io/pranjali_ajay_parse'>https://topmate.io/pranjali_ajay_parse </a>
Pranjali on YouTube - <a href='https://www.youtube.com/@pranjali_parse'>https://www.youtube.com/@pranjali_parse </a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode of the Women in Data podcast, we dive deep into the remarkable career of Pranjali Ajay Parse, a data scientist at Autodesk, as she shares her journey into the dynamic world of data science. This episode is a must for anybody who wishes to land their first data science role. </p>
<p> </p>
<p>Pranjali outlines her journey from mobile app development to the emerging world of data science which was booming across a range of industries, recounts her journey from India to the USA and explains the power of courses, education and internships to get a role. Pranjali also explains of the power of taking on leadership roles, including hers as an ambassador for women in data science with a major US college. <br>
 <br>
Listen to learn practical tips on how to land your first data science role and discover Pranjali’s unique journey into the data space and her transition between cultures. </p>
<p> </p>
<p>Pranjali on LinkedIn: <a href='https://www.linkedin.com/in/pranjali-ajay-parse/'>https://www.linkedin.com/in/pranjali-ajay-parse/ </a></p>
<p>Get mentored by Pranjali - <a href='https://topmate.io/pranjali_ajay_parse'>https://topmate.io/pranjali_ajay_parse </a><br>
Pranjali on YouTube - <a href='https://www.youtube.com/@pranjali_parse'>https://www.youtube.com/@pranjali_parse </a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/fb7v6ifa3d6h8kqx/Ep108_Pranjalis_Guide_to_Securing_Your_First_Data_Science_Roleanz0e.mp3" length="25122912" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode of the Women in Data podcast, we dive deep into the remarkable career of Pranjali Ajay Parse, a data scientist at Autodesk, as she shares her journey into the dynamic world of data science. This episode is a must for anybody who wishes to land their first data science role. 
 
Pranjali outlines her journey from mobile app development to the emerging world of data science which was booming across a range of industries, recounts her journey from India to the USA and explains the power of courses, education and internships to get a role. Pranjali also explains of the power of taking on leadership roles, including hers as an ambassador for women in data science with a major US college.  Listen to learn practical tips on how to land your first data science role and discover Pranjali’s unique journey into the data space and her transition between cultures. 
 
Pranjali on LinkedIn: https://www.linkedin.com/in/pranjali-ajay-parse/ 
Get mentored by Pranjali - https://topmate.io/pranjali_ajay_parse Pranjali on YouTube - https://www.youtube.com/@pranjali_parse ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1569</itunes:duration>
                <itunes:episode>110</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.107 Mastering Networking - Our favorite strategies and tips</title>
        <itunes:title>Ep.107 Mastering Networking - Our favorite strategies and tips</itunes:title>
        <link>https://womenindata.podbean.com/e/ep107-mastering-networking-our-favorite-strategies-and-tips/</link>
                    <comments>https://womenindata.podbean.com/e/ep107-mastering-networking-our-favorite-strategies-and-tips/#comments</comments>        <pubDate>Wed, 24 Apr 2024 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/30d22d80-7d8a-325d-a5dc-5ec7ce60a1db</guid>
                                    <description><![CDATA[<p>In this co-hosted Women in Data episode, Karen and Cecilia devote an entire episode to a topic that was key in the special 100th episode: networking. The pair discuss advice for networking, understanding why networking is crucial for career advancement, building skills, and establishing personal connections. They also discuss how to reach out to find mentorship, especially with people who may be very busy.  Karen and Cecilia give practical tips on how to enjoy and gain benefit from networking events including arriving early and having clearly defined objectives beforehand.  This episode is a must listen for people who are keen to develop their soft, interpersonal, and networking skills. Don’t miss it!</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this co-hosted Women in Data episode, Karen and Cecilia devote an entire episode to a topic that was key in the special 100th episode: networking. The pair discuss advice for networking, understanding why networking is crucial for career advancement, building skills, and establishing personal connections. They also discuss how to reach out to find mentorship, especially with people who may be very busy. <br class="SCXW49351550 BCX0" /> <br class="SCXW49351550 BCX0" />Karen and Cecilia give practical tips on how to enjoy and gain benefit from networking events including arriving early and having clearly defined objectives beforehand. <br class="SCXW49351550 BCX0" /> <br class="SCXW49351550 BCX0" />This episode is a must listen for people who are keen to develop their soft, interpersonal, and networking skills. Don’t miss it!</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/pwcjemyhaqxhg6y4/Ep107_Mastering_networking_-_Our_favorite_strategies_and_tips7vzsz.mp3" length="33773577" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this co-hosted Women in Data episode, Karen and Cecilia devote an entire episode to a topic that was key in the special 100th episode: networking. The pair discuss advice for networking, understanding why networking is crucial for career advancement, building skills, and establishing personal connections. They also discuss how to reach out to find mentorship, especially with people who may be very busy.  Karen and Cecilia give practical tips on how to enjoy and gain benefit from networking events including arriving early and having clearly defined objectives beforehand.  This episode is a must listen for people who are keen to develop their soft, interpersonal, and networking skills. Don’t miss it!]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2110</itunes:duration>
                <itunes:episode>109</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.106 Megan Lieu - Navigating Adjacent Roles in Data: Data Advocate</title>
        <itunes:title>Ep.106 Megan Lieu - Navigating Adjacent Roles in Data: Data Advocate</itunes:title>
        <link>https://womenindata.podbean.com/e/ep106-megan-lieu-navigating-adjacent-roles-in-data-data-advocate/</link>
                    <comments>https://womenindata.podbean.com/e/ep106-megan-lieu-navigating-adjacent-roles-in-data-data-advocate/#comments</comments>        <pubDate>Wed, 10 Apr 2024 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/675d71d7-7ba3-3f96-93c2-2aa3cce2b7d5</guid>
                                    <description><![CDATA[<p>This month marks the 4th anniversary of the Women in Data Podcast, featuring a special guest, Megan Lieu, a Data Advocate at Deepnotes, LinkedIn Instructor, and Data Influencer with over 100k followers. In this episode, Megan reflects on her journey from a finance career to Data Science, highlighting her initial obsession with coding before realizing her strengths lay in communication, project management, and strategic thinking.  </p>
<p>Karen and Megan delve into the crucial role of Data Advocates in ensuring the usability of data products, emphasizing the importance of understanding user experience and addressing pain points for effective product development.  Additionally, they discuss the provision of valuable resources and interaction with users to facilitate the efficient utilization of products and tools. </p>
<p>They talk about content creation, navigating social media, and the parallels with Megan’s advocacy role. Megan also shares insights on finding support during career transitions without an established network. </p>
<p> </p>
<p>Megan on LinkedIn: <a href='https://www.linkedin.com/in/meganlieu/'>https://www.linkedin.com/in/meganlieu/ </a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This month marks the 4th anniversary of the Women in Data Podcast, featuring a special guest, Megan Lieu, a Data Advocate at Deepnotes, LinkedIn Instructor, and Data Influencer with over 100k followers. In this episode, Megan reflects on her journey from a finance career to Data Science, highlighting her initial obsession with coding before realizing her strengths lay in communication, project management, and strategic thinking.  </p>
<p>Karen and Megan delve into the crucial role of Data Advocates in ensuring the usability of data products, emphasizing the importance of understanding user experience and addressing pain points for effective product development.  Additionally, they discuss the provision of valuable resources and interaction with users to facilitate the efficient utilization of products and tools. </p>
<p>They talk about content creation, navigating social media, and the parallels with Megan’s advocacy role. Megan also shares insights on finding support during career transitions without an established network. </p>
<p> </p>
<p>Megan on LinkedIn: <a href='https://www.linkedin.com/in/meganlieu/'>https://www.linkedin.com/in/meganlieu/ </a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/jtqceq/Ep106_Megan_Lieu_-_Navigating_Adjacent_Roles_in_Data_Data_Advocateahvcm.mp3" length="31475671" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This month marks the 4th anniversary of the Women in Data Podcast, featuring a special guest, Megan Lieu, a Data Advocate at Deepnotes, LinkedIn Instructor, and Data Influencer with over 100k followers. In this episode, Megan reflects on her journey from a finance career to Data Science, highlighting her initial obsession with coding before realizing her strengths lay in communication, project management, and strategic thinking.  
Karen and Megan delve into the crucial role of Data Advocates in ensuring the usability of data products, emphasizing the importance of understanding user experience and addressing pain points for effective product development.  Additionally, they discuss the provision of valuable resources and interaction with users to facilitate the efficient utilization of products and tools. 
They talk about content creation, navigating social media, and the parallels with Megan’s advocacy role. Megan also shares insights on finding support during career transitions without an established network. 
 
Megan on LinkedIn: https://www.linkedin.com/in/meganlieu/ ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1966</itunes:duration>
                <itunes:episode>108</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.105 Raquel Seville - Thriving Amid Womens Health Challenges</title>
        <itunes:title>Ep.105 Raquel Seville - Thriving Amid Womens Health Challenges</itunes:title>
        <link>https://womenindata.podbean.com/e/ep105-raquel-seville-thriving-amid-womens-health-challenges/</link>
                    <comments>https://womenindata.podbean.com/e/ep105-raquel-seville-thriving-amid-womens-health-challenges/#comments</comments>        <pubDate>Wed, 27 Mar 2024 19:12:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/6cc87c69-a317-310e-9ac8-c64312ac2c69</guid>
                                    <description><![CDATA[<p>In this episode, Karen is joined by Raquel Seville, CEO of Dataffluent Limited. They discuss Raquel’s remarkable journey from a data analyst to an entrepreneur, highlighting her impact as a female leader in the Caribbean tech industry. While the conversation delves into the state of data in Jamaica,  the main focus is on the unique challenges women face in balancing career aspirations with personal life, addressing specific female health challenges that can disrupt career progression.  </p>
<p>There is no separation between being a woman and being a professional, and Raquel shares her experience going through myomectomy, severe pre-eclampsia, child loss, and multiple miscarriages. She highlights the fact that black women are much more likely to face life-changing health issues than women of other ethnicities, particularly around fertility. As a data professional, Raquel finds it difficult to just accept these as facts and is determined to discover the why as well as solutions. </p>
<p>Find Raquel on LinkedIn: <a href='https://www.linkedin.com/in/raquelseville/'>https://www.linkedin.com/in/raquelseville/</a> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Karen is joined by Raquel Seville, CEO of Dataffluent Limited. They discuss Raquel’s remarkable journey from a data analyst to an entrepreneur, highlighting her impact as a female leader in the Caribbean tech industry. While the conversation delves into the state of data in Jamaica,  the main focus is on the unique challenges women face in balancing career aspirations with personal life, addressing specific female health challenges that can disrupt career progression.  </p>
<p>There is no separation between being a woman and being a professional, and Raquel shares her experience going through myomectomy, severe pre-eclampsia, child loss, and multiple miscarriages. She highlights the fact that black women are much more likely to face life-changing health issues than women of other ethnicities, particularly around fertility. As a data professional, Raquel finds it difficult to just accept these as facts and is determined to discover the why as well as solutions. </p>
<p>Find Raquel on LinkedIn: <a href='https://www.linkedin.com/in/raquelseville/'>https://www.linkedin.com/in/raquelseville/</a> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/cqkgwe/Ep105_Raquel_Seville_-_Thriving_Amid_Womens_Health_Challenges5yurq.mp3" length="33873532" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Karen is joined by Raquel Seville, CEO of Dataffluent Limited. They discuss Raquel’s remarkable journey from a data analyst to an entrepreneur, highlighting her impact as a female leader in the Caribbean tech industry. While the conversation delves into the state of data in Jamaica,  the main focus is on the unique challenges women face in balancing career aspirations with personal life, addressing specific female health challenges that can disrupt career progression.  
There is no separation between being a woman and being a professional, and Raquel shares her experience going through myomectomy, severe pre-eclampsia, child loss, and multiple miscarriages. She highlights the fact that black women are much more likely to face life-changing health issues than women of other ethnicities, particularly around fertility. As a data professional, Raquel finds it difficult to just accept these as facts and is determined to discover the why as well as solutions. 
Find Raquel on LinkedIn: https://www.linkedin.com/in/raquelseville/ ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2116</itunes:duration>
                <itunes:episode>107</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.104 -Data Leaders Should Also Be People Leaders</title>
        <itunes:title>Ep.104 -Data Leaders Should Also Be People Leaders</itunes:title>
        <link>https://womenindata.podbean.com/e/ep104-data-leaders-should-also-be-people-leaders/</link>
                    <comments>https://womenindata.podbean.com/e/ep104-data-leaders-should-also-be-people-leaders/#comments</comments>        <pubDate>Wed, 13 Mar 2024 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/1a4ec2d5-8f8e-36c3-a3c9-0e61c6cec20e</guid>
                                    <description><![CDATA[<p>How do you find career clarity in Data? How do you find the right leader? What are the questions to ask to determine that someone is the right leader for YOU? Also, how does a leader stay current after years in a role? If these are questions you ask, this podcast will help you enormously.  
Antje Bustamante and Neha Wadhawan share their experiences on how they navigated their careers and eventually thrived, even when leadership wasn’t people-focused. Hear how they quiz leaders to discover if their values align with their own.  
Also hear how they would deal today with inadequate leadership or bias that they encountered in the past. 
You will hear surprising insights about the utility of vulnerability, openness and information transparency in leadership.  
In their roles, Antje and Neha distinguish ‘management’ from what they see as genuine empowerment. </p>
<p>Find out how to establish boundaries and draw your own red lines while seeking out leaders yet, at the same time, taking responsibility for your career. </p>
<p> </p>
<p>Find Neha on LinkedIn:<a href='https://www.linkedin.com/in/nehawag/'>https://www.linkedin.com/in/nehawag/</a>
Find Antje on LinkedIn:<a href='https://www.linkedin.com/in/antje-bustamante-a44143bb/'>https://www.linkedin.com/in/antje-bustamante-a44143bb/</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>How do you find career clarity in Data? How do you find the right leader? What are the questions to ask to determine that someone is the right leader for YOU? Also, how does a leader stay current after years in a role? If these are questions you ask, this podcast will help you enormously.  <br>
Antje Bustamante and Neha Wadhawan share their experiences on how they navigated their careers and eventually thrived, even when leadership wasn’t people-focused. Hear how they quiz leaders to discover if their values align with their own.  <br>
Also hear how they would deal today with inadequate leadership or bias that they encountered in the past. <br>
You will hear surprising insights about the utility of vulnerability, openness and information transparency in leadership.  <br>
In their roles, Antje and Neha distinguish ‘management’ from what they see as genuine empowerment. </p>
<p>Find out how to establish boundaries and draw your own red lines while seeking out leaders yet, at the same time, taking responsibility for your career. </p>
<p> </p>
<p>Find Neha on LinkedIn:<a href='https://www.linkedin.com/in/nehawag/'>https://www.linkedin.com/in/nehawag/</a><br>
Find Antje on LinkedIn:<a href='https://www.linkedin.com/in/antje-bustamante-a44143bb/'>https://www.linkedin.com/in/antje-bustamante-a44143bb/</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/u9m9pv/Ep104_-_Data_Leaders_Should_Also_Be_People_Leaders99906.mp3" length="35416140" type="audio/mpeg"/>
        <itunes:summary><![CDATA[How do you find career clarity in Data? How do you find the right leader? What are the questions to ask to determine that someone is the right leader for YOU? Also, how does a leader stay current after years in a role? If these are questions you ask, this podcast will help you enormously.  Antje Bustamante and Neha Wadhawan share their experiences on how they navigated their careers and eventually thrived, even when leadership wasn’t people-focused. Hear how they quiz leaders to discover if their values align with their own.  Also hear how they would deal today with inadequate leadership or bias that they encountered in the past. You will hear surprising insights about the utility of vulnerability, openness and information transparency in leadership.  In their roles, Antje and Neha distinguish ‘management’ from what they see as genuine empowerment. 
Find out how to establish boundaries and draw your own red lines while seeking out leaders yet, at the same time, taking responsibility for your career. 
 
Find Neha on LinkedIn:https://www.linkedin.com/in/nehawag/Find Antje on LinkedIn:https://www.linkedin.com/in/antje-bustamante-a44143bb/]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2529</itunes:duration>
                <itunes:episode>105</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.103 Inside WiD's Flagship Event!</title>
        <itunes:title>Ep.103 Inside WiD's Flagship Event!</itunes:title>
        <link>https://womenindata.podbean.com/e/ep103-inside-wids-flagship-event/</link>
                    <comments>https://womenindata.podbean.com/e/ep103-inside-wids-flagship-event/#comments</comments>        <pubDate>Wed, 28 Feb 2024 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/36742e37-518a-38bf-ac4c-20fb63cacd05</guid>
                                    <description><![CDATA[<p>The countdown has begun, and we are buzzing with excitement! </p>
<p>In this thrilling episode, Karen is joined by Roisin McCarthy, the founder of Women in Data, and Chole Aboud, Partner Relations Executive for WiD, to provide you with an exclusive sneak peek into the flagship event happening on March 7, 2024. Tune in to discover details about the incredibly inspiring guest speakers, engaging workshops, hackathon, and partnerships for the day! </p>
<p>If you're attending, don't forget to come say hi! See you there! </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>The countdown has begun, and we are buzzing with excitement! </p>
<p>In this thrilling episode, Karen is joined by Roisin McCarthy, the founder of Women in Data, and Chole Aboud, Partner Relations Executive for WiD, to provide you with an exclusive sneak peek into the flagship event happening on March 7, 2024. Tune in to discover details about the incredibly inspiring guest speakers, engaging workshops, hackathon, and partnerships for the day! </p>
<p>If you're attending, don't forget to come say hi! See you there! </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/tb4vbr/Ep103_Inside_WiDs_Flagship_Event6squ7.mp3" length="19483046" type="audio/mpeg"/>
        <itunes:summary><![CDATA[The countdown has begun, and we are buzzing with excitement! 
In this thrilling episode, Karen is joined by Roisin McCarthy, the founder of Women in Data, and Chole Aboud, Partner Relations Executive for WiD, to provide you with an exclusive sneak peek into the flagship event happening on March 7, 2024. Tune in to discover details about the incredibly inspiring guest speakers, engaging workshops, hackathon, and partnerships for the day! 
If you're attending, don't forget to come say hi! See you there! ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1217</itunes:duration>
                <itunes:episode>106</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.102 Anusha Adige - Finding your space in Data</title>
        <itunes:title>Ep.102 Anusha Adige - Finding your space in Data</itunes:title>
        <link>https://womenindata.podbean.com/e/ep102-anusha-adige-finding-your-space-in-data/</link>
                    <comments>https://womenindata.podbean.com/e/ep102-anusha-adige-finding-your-space-in-data/#comments</comments>        <pubDate>Wed, 21 Feb 2024 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/abed49bf-8b83-36f8-aae6-0a85d0ec6eaa</guid>
                                    <description><![CDATA[<p>If you are wondering about where and how you fit into the world of Data, this episode will provide a great perspective. Anusha Adige moved from India to Scotland, and from Banking specialist to Business Analyst, and now Data and Analytics Manager. Though she came from a non-technical background, she learned to work with programmers to generate powerful business insights. Karen and Cecilia were fascinated to hear about the transferable skills of someone who is a naturally curious person. Discussions between business people and data people often get lost in translation. So, Data needs “really efficient data translators” and stories supported by numbers. </p>
<p>Hear how you can develop in confidence and bring more to the business. </p>
<p>Anusha Adige on LinkedIn <a href='https://www.linkedin.com/in/anusha-adige-474b7287/'>https://www.linkedin.com/in/anusha-adige-474b7287/</a> </p>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>If you are wondering about where and how you fit into the world of Data, this episode will provide a great perspective. Anusha Adige moved from India to Scotland, and from Banking specialist to Business Analyst, and now Data and Analytics Manager. Though she came from a non-technical background, she learned to work with programmers to generate powerful business insights. Karen and Cecilia were fascinated to hear about the transferable skills of someone who is a naturally curious person. Discussions between business people and data people often get lost in translation. So, Data needs “really efficient data translators” and stories supported by numbers. </p>
<p>Hear how you can develop in confidence and bring more to the business. </p>
<p>Anusha Adige on LinkedIn <a href='https://www.linkedin.com/in/anusha-adige-474b7287/'>https://www.linkedin.com/in/anusha-adige-474b7287/</a> </p>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/7q7zef/Ep102_Anusha_Adige_-_Finding_your_space_in_dataaotww.mp3" length="26901398" type="audio/mpeg"/>
        <itunes:summary><![CDATA[If you are wondering about where and how you fit into the world of Data, this episode will provide a great perspective. Anusha Adige moved from India to Scotland, and from Banking specialist to Business Analyst, and now Data and Analytics Manager. Though she came from a non-technical background, she learned to work with programmers to generate powerful business insights. Karen and Cecilia were fascinated to hear about the transferable skills of someone who is a naturally curious person. Discussions between business people and data people often get lost in translation. So, Data needs “really efficient data translators” and stories supported by numbers. 
Hear how you can develop in confidence and bring more to the business. 
Anusha Adige on LinkedIn https://www.linkedin.com/in/anusha-adige-474b7287/ 
 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1681</itunes:duration>
                <itunes:episode>103</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.101 Sarah Victor - How to get comfortable with the unknown</title>
        <itunes:title>Ep.101 Sarah Victor - How to get comfortable with the unknown</itunes:title>
        <link>https://womenindata.podbean.com/e/ep101-sarah-victor-how-to-get-comfortable-with-the-unknown/</link>
                    <comments>https://womenindata.podbean.com/e/ep101-sarah-victor-how-to-get-comfortable-with-the-unknown/#comments</comments>        <pubDate>Wed, 07 Feb 2024 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/f11cc59e-0e89-3bb3-acca-80b5344a878d</guid>
                                    <description><![CDATA[<p>85% of the jobs that will be available in 2030 have not been invented yet! How do we make career decisions today and plan for the future? In this episode, Karen is joined by Sarah Victor, Co-Head of Data Governance, Chief Data Office, Corporate &amp; Investment Bank at J.P. Morgan, who shares strategies that she deployed to navigate an unconventional career path that led to Data. When you move from India to the USA, switch from Engineering to study for an MBA, and start a new role in the Finance sector: what are the risks, and how do you make informed choices? One suggestion is to listen to a diversity of ideas.  </p>
<p>Discover more insights as Karen and Sarah cover a range of predictability, from becoming too comfortable in a job, to learning how to get comfortable being uncomfortable. </p>
<p> </p>
<p>Sarah Victor on LinkedIn <a href='https://www.linkedin.com/in/sarah-victor-a381703'>https://www.linkedin.com/in/sarah-victor-a381703</a> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>85% of the jobs that will be available in 2030 have not been invented yet! How do we make career decisions today and plan for the future? In this episode, Karen is joined by Sarah Victor, Co-Head of Data Governance, Chief Data Office, Corporate &amp; Investment Bank at J.P. Morgan, who shares strategies that she deployed to navigate an unconventional career path that led to Data. When you move from India to the USA, switch from Engineering to study for an MBA, and start a new role in the Finance sector: what are the risks, and how do you make informed choices? One suggestion is to listen to a diversity of ideas.  </p>
<p>Discover more insights as Karen and Sarah cover a range of predictability, from becoming too comfortable in a job, to learning how to get comfortable being uncomfortable. </p>
<p> </p>
<p>Sarah Victor on LinkedIn <a href='https://www.linkedin.com/in/sarah-victor-a381703'>https://www.linkedin.com/in/sarah-victor-a381703</a> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/rh6nmx/Ep101_Sarah_Victor_-_How_to_get_comfortable_with_the_unknowna7rvv.mp3" length="25160464" type="audio/mpeg"/>
        <itunes:summary><![CDATA[85% of the jobs that will be available in 2030 have not been invented yet! How do we make career decisions today and plan for the future? In this episode, Karen is joined by Sarah Victor, Co-Head of Data Governance, Chief Data Office, Corporate &amp; Investment Bank at J.P. Morgan, who shares strategies that she deployed to navigate an unconventional career path that led to Data. When you move from India to the USA, switch from Engineering to study for an MBA, and start a new role in the Finance sector: what are the risks, and how do you make informed choices? One suggestion is to listen to a diversity of ideas.  
Discover more insights as Karen and Sarah cover a range of predictability, from becoming too comfortable in a job, to learning how to get comfortable being uncomfortable. 
 
Sarah Victor on LinkedIn https://www.linkedin.com/in/sarah-victor-a381703 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1572</itunes:duration>
                <itunes:episode>102</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.100 Navigating Your Career: Advice from 100 Episodes</title>
        <itunes:title>Ep.100 Navigating Your Career: Advice from 100 Episodes</itunes:title>
        <link>https://womenindata.podbean.com/e/ep100-navigating-your-career-advice-from-100-episodes/</link>
                    <comments>https://womenindata.podbean.com/e/ep100-navigating-your-career-advice-from-100-episodes/#comments</comments>        <pubDate>Wed, 24 Jan 2024 19:36:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/3fb2f7ed-ea66-3369-950e-345991e94825</guid>
                                    <description><![CDATA[<p>In celebration of the 100 episodes, Karen and Cecilia invited to the show Alex Smith and Lara Harris, two members of the production team. They dive into the most valuable career advice shared throughout the podcast's journey, focusing on the listeners' favourite topic: navigating a successful career in the world of data. Covering pivotal career phases, from determining your next move to resiliently facing redundancy, this episode extracts wisdom from key moments, including: </p>
<ul><li>Episode 73: How to figure out your next step </li>
<li>Episode 62: Future-proofing your career </li>
<li>Episode 64: Establishing yourself in a new role </li>
<li>Episode 71: Redundancy and job-hunting experiences </li>
</ul>
<p>As a bonus, join the celebration on LinkedIn for a chance to win a ticket to the highly anticipated Women in Data flagship event in March. </p>
<p> </p>
<p>Follow Karen: <a href='https://www.linkedin.com/in/karen-jean-francois/'>https://www.linkedin.com/in/karen-jean-francois/</a> </p>
<p>Follow Cecilia: <a href='https://www.linkedin.com/in/ceciliagoliveira/'>https://www.linkedin.com/in/ceciliagoliveira/ </a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In celebration of the 100 episodes, Karen and Cecilia invited to the show Alex Smith and Lara Harris, two members of the production team. They dive into the most valuable career advice shared throughout the podcast's journey, focusing on the listeners' favourite topic: navigating a successful career in the world of data. Covering pivotal career phases, from determining your next move to resiliently facing redundancy, this episode extracts wisdom from key moments, including: </p>
<ul><li>Episode 73: How to figure out your next step </li>
<li>Episode 62: Future-proofing your career </li>
<li>Episode 64: Establishing yourself in a new role </li>
<li>Episode 71: Redundancy and job-hunting experiences </li>
</ul>
<p>As a bonus, join the celebration on LinkedIn for a chance to win a ticket to the highly anticipated Women in Data flagship event in March. </p>
<p> </p>
<p>Follow Karen: <a href='https://www.linkedin.com/in/karen-jean-francois/'>https://www.linkedin.com/in/karen-jean-francois/</a> </p>
<p>Follow Cecilia: <a href='https://www.linkedin.com/in/ceciliagoliveira/'>https://www.linkedin.com/in/ceciliagoliveira/ </a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/prncz5/Ep100_Navigating_Your_Career_-_Advice_from_100_Episodes89ky6.mp3" length="27472448" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In celebration of the 100 episodes, Karen and Cecilia invited to the show Alex Smith and Lara Harris, two members of the production team. They dive into the most valuable career advice shared throughout the podcast's journey, focusing on the listeners' favourite topic: navigating a successful career in the world of data. Covering pivotal career phases, from determining your next move to resiliently facing redundancy, this episode extracts wisdom from key moments, including: 
Episode 73: How to figure out your next step 
Episode 62: Future-proofing your career 
Episode 64: Establishing yourself in a new role 
Episode 71: Redundancy and job-hunting experiences 
As a bonus, join the celebration on LinkedIn for a chance to win a ticket to the highly anticipated Women in Data flagship event in March. 
 
Follow Karen: https://www.linkedin.com/in/karen-jean-francois/ 
Follow Cecilia: https://www.linkedin.com/in/ceciliagoliveira/ ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1716</itunes:duration>
                <itunes:episode>104</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.99 Wuraola Oyewusi - Learning and development in Data Science The internet is generous</title>
        <itunes:title>Ep.99 Wuraola Oyewusi - Learning and development in Data Science The internet is generous</itunes:title>
        <link>https://womenindata.podbean.com/e/ep99-wuraola-oyewusi-learning-and-development-in-data-science-the-internet-is-generous/</link>
                    <comments>https://womenindata.podbean.com/e/ep99-wuraola-oyewusi-learning-and-development-in-data-science-the-internet-is-generous/#comments</comments>        <pubDate>Wed, 10 Jan 2024 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/cbf35701-77d2-305d-8b5c-babe048b7ebf</guid>
                                    <description><![CDATA[<p>Hear about Wuraola’s veracious appetite for learning and where and how she finds online tools to develop her understanding of data science. In this episode, Karen and Cecilia are joined by publisher and technical instructor, Wuraola Oyewusi, who describes her journey in Data. Two take-aways are ‘curiosity is not language dependent’ and ‘the internet is generous.’ To acknowledge the online sources and teachers who helped her with free content, and to give back to the community, Wuraola publishes inspirational content on Linkedin and YouTube. After listening to her speak here, you will want to explore further to find her videos that range in topic from data visualisation, delivered in Yoruba, to How to Switch to a Tech Career. </p>
<p>Find out how to combine available self-help content and structured courses to enjoy learning and plan your development in Data. </p>
<p>Wuraola Oyewusi on LinkedIn <a href='https://www.linkedin.com/in/wuraolaoyewusi/'>https://www.linkedin.com/in/wuraolaoyewusi/</a> 
Wuraola Oyewusi on YouTube <a href='https://www.youtube.com/@wuraoyewusi'>https://www.youtube.com/@wuraoyewusi</a> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Hear about Wuraola’s veracious appetite for learning and where and how she finds online tools to develop her understanding of data science. In this episode, Karen and Cecilia are joined by publisher and technical instructor, Wuraola Oyewusi, who describes her journey in Data. Two take-aways are ‘curiosity is not language dependent’ and ‘the internet is generous.’ To acknowledge the online sources and teachers who helped her with free content, and to give back to the community, Wuraola publishes inspirational content on Linkedin and YouTube. After listening to her speak here, you will want to explore further to find her videos that range in topic from data visualisation, delivered in Yoruba, to How to Switch to a Tech Career. </p>
<p>Find out how to combine available self-help content and structured courses to enjoy learning and plan your development in Data. </p>
<p>Wuraola Oyewusi on LinkedIn <a href='https://www.linkedin.com/in/wuraolaoyewusi/'>https://www.linkedin.com/in/wuraolaoyewusi/</a> <br>
Wuraola Oyewusi on YouTube <a href='https://www.youtube.com/@wuraoyewusi'>https://www.youtube.com/@wuraoyewusi</a> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/js6wdq/Ep99_Wuraola_Oyewusi_-_Learning_and_development_in_Data_Science_The_internet_is_generousbhc3p.mp3" length="27550072" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Hear about Wuraola’s veracious appetite for learning and where and how she finds online tools to develop her understanding of data science. In this episode, Karen and Cecilia are joined by publisher and technical instructor, Wuraola Oyewusi, who describes her journey in Data. Two take-aways are ‘curiosity is not language dependent’ and ‘the internet is generous.’ To acknowledge the online sources and teachers who helped her with free content, and to give back to the community, Wuraola publishes inspirational content on Linkedin and YouTube. After listening to her speak here, you will want to explore further to find her videos that range in topic from data visualisation, delivered in Yoruba, to How to Switch to a Tech Career. 
Find out how to combine available self-help content and structured courses to enjoy learning and plan your development in Data. 
Wuraola Oyewusi on LinkedIn https://www.linkedin.com/in/wuraolaoyewusi/ Wuraola Oyewusi on YouTube https://www.youtube.com/@wuraoyewusi ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1721</itunes:duration>
                <itunes:episode>101</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <podcast:chapters url="https://mcdn.podbean.com/mf/web/sdfuk4/JqRgMWi2gI3G_chapters.json" type="application/json" />    </item>
    <item>
        <title>Ep.98 Reflect, Learn, Grow- A Year-End Retrospective with Karen and Cecilia</title>
        <itunes:title>Ep.98 Reflect, Learn, Grow- A Year-End Retrospective with Karen and Cecilia</itunes:title>
        <link>https://womenindata.podbean.com/e/ep98-reflect-learn-grow-a-year-end-retrospective-with-karen-and-cecilia/</link>
                    <comments>https://womenindata.podbean.com/e/ep98-reflect-learn-grow-a-year-end-retrospective-with-karen-and-cecilia/#comments</comments>        <pubDate>Wed, 13 Dec 2023 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/0696625a-f7ca-3c19-87f1-ac944095358b</guid>
                                    <description><![CDATA[<p>In this year-end special, Karen and Cecilia warmly invite you to join them in reflecting on the passing year. They explore the significance of retrospectives, sharing valuable insights and personal strategies for both personal and professional growth. Offering different structures for your own retrospective, they candidly delve into their individual journeys, opening up about mistakes, lessons learned, and memorable moments. Join them for a thoughtful and inspiring discussion as they bid farewell to 2023. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this year-end special, Karen and Cecilia warmly invite you to join them in reflecting on the passing year. They explore the significance of retrospectives, sharing valuable insights and personal strategies for both personal and professional growth. Offering different structures for your own retrospective, they candidly delve into their individual journeys, opening up about mistakes, lessons learned, and memorable moments. Join them for a thoughtful and inspiring discussion as they bid farewell to 2023. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/rnwb5n/Ep98_Reflect_Learn_Grow-_A_Year-End_Retrospective_with_Karen_and_Ceciliaa34qg.mp3" length="27634654" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this year-end special, Karen and Cecilia warmly invite you to join them in reflecting on the passing year. They explore the significance of retrospectives, sharing valuable insights and personal strategies for both personal and professional growth. Offering different structures for your own retrospective, they candidly delve into their individual journeys, opening up about mistakes, lessons learned, and memorable moments. Join them for a thoughtful and inspiring discussion as they bid farewell to 2023. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1726</itunes:duration>
                <itunes:episode>100</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.97 Transcending Industries: Sumathi Thiyagarajan’s Story</title>
        <itunes:title>Ep.97 Transcending Industries: Sumathi Thiyagarajan’s Story</itunes:title>
        <link>https://womenindata.podbean.com/e/ep97-transcending-industries-sumathi-thiyagarajan-s-story/</link>
                    <comments>https://womenindata.podbean.com/e/ep97-transcending-industries-sumathi-thiyagarajan-s-story/#comments</comments>        <pubDate>Wed, 29 Nov 2023 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/d47a2270-8a4d-3ee0-aa92-435877c517ee</guid>
                                    <description><![CDATA[<p>Ever wondered how transferable skills can shape your career path? Karen spent some quality time with the remarkable Sumathi Thiyagarajan, VP of Business Strategy and Analytics for the Milwaukee Bucks, to discuss this exact topic. Sumathi has lived the reality of transitioning across industries, from healthcare to academia, and finally making her mark in the world of sports and entertainment. In this episode, Sumathi shares her journey and her strategies to build credibility, emphasising the power of transferable skills in data and highlighting the often-overlooked non-technical skills that have proven instrumental in her career so far. The conversation then takes an inspiring turn as Sumathi shares her personal experiences as a woman of colour navigating data and analytics leadership, and how her position at the top allows her to bring diverse talent and perspectives to the organisation. Get ready to be inspired, challenged and empowered.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Ever wondered how transferable skills can shape your career path? Karen spent some quality time with the remarkable Sumathi Thiyagarajan, VP of Business Strategy and Analytics for the Milwaukee Bucks, to discuss this exact topic. Sumathi has lived the reality of transitioning across industries, from healthcare to academia, and finally making her mark in the world of sports and entertainment. In this episode, Sumathi shares her journey and her strategies to build credibility, emphasising the power of transferable skills in data and highlighting the often-overlooked non-technical skills that have proven instrumental in her career so far. <br class="SCXW245367240 BCX0" />The conversation then takes an inspiring turn as Sumathi shares her personal experiences as a woman of colour navigating data and analytics leadership, and how her position at the top allows her to bring diverse talent and perspectives to the organisation. Get ready to be inspired, challenged and empowered.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/vdwfym/Ep97_Transcending_Industries_Sumathi_Tiagarajan_s_Story7nief.mp3" length="23043056" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Ever wondered how transferable skills can shape your career path? Karen spent some quality time with the remarkable Sumathi Thiyagarajan, VP of Business Strategy and Analytics for the Milwaukee Bucks, to discuss this exact topic. Sumathi has lived the reality of transitioning across industries, from healthcare to academia, and finally making her mark in the world of sports and entertainment. In this episode, Sumathi shares her journey and her strategies to build credibility, emphasising the power of transferable skills in data and highlighting the often-overlooked non-technical skills that have proven instrumental in her career so far. The conversation then takes an inspiring turn as Sumathi shares her personal experiences as a woman of colour navigating data and analytics leadership, and how her position at the top allows her to bring diverse talent and perspectives to the organisation. Get ready to be inspired, challenged and empowered.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1645</itunes:duration>
                <itunes:episode>99</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.96 Rehgan Avon - Decoding the Hype and Reality of Generative AI</title>
        <itunes:title>Ep.96 Rehgan Avon - Decoding the Hype and Reality of Generative AI</itunes:title>
        <link>https://womenindata.podbean.com/e/ep96-rehgan-avon-decoding-the-hype-and-reality-of-generative-ai/</link>
                    <comments>https://womenindata.podbean.com/e/ep96-rehgan-avon-decoding-the-hype-and-reality-of-generative-ai/#comments</comments>        <pubDate>Wed, 15 Nov 2023 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/89a37e68-c2f6-355e-9553-59ffa9aa8b41</guid>
                                    <description><![CDATA[<p>Does Generative AI have the potential to revolutionise your business strategy? In this episode, Karen is joined by Rehgan Avon, CEO of Align AI and founder of Women in Analytics, to discuss Generative AI and how it is affecting data strategies. Prepare to unravel the pros and cons of the hype cycle surrounding Gen AI, as well as how organisations should navigate this landscape by conducting proofs of concept and tackling the task of educating their teams about this groundbreaking technology. Listen to Rehgan talk about how business and AI strategy should not be separated from each other in order to avoid the pitfalls of impulsive decisions and ineffective data practices. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Does Generative AI have the potential to revolutionise your business strategy? <br class="SCXW200617199 BCX0" />In this episode, Karen is joined by Rehgan Avon, CEO of Align AI and founder of Women in Analytics, to discuss Generative AI and how it is affecting data strategies. Prepare to unravel the pros and cons of the hype cycle surrounding Gen AI, as well as how organisations should navigate this landscape by conducting proofs of concept and tackling the task of educating their teams about this groundbreaking technology. Listen to Rehgan talk about how business and AI strategy should not be separated from each other in order to avoid the pitfalls of impulsive decisions and ineffective data practices. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/zx3kgp/Ep96_Rehgan_Avon_-_Decoding_the_Hype_and_Reality_of_Generative_AI6spdi.mp3" length="29167123" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Does Generative AI have the potential to revolutionise your business strategy? In this episode, Karen is joined by Rehgan Avon, CEO of Align AI and founder of Women in Analytics, to discuss Generative AI and how it is affecting data strategies. Prepare to unravel the pros and cons of the hype cycle surrounding Gen AI, as well as how organisations should navigate this landscape by conducting proofs of concept and tackling the task of educating their teams about this groundbreaking technology. Listen to Rehgan talk about how business and AI strategy should not be separated from each other in order to avoid the pitfalls of impulsive decisions and ineffective data practices. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1822</itunes:duration>
                <itunes:episode>98</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.95 - Unlocking Your Role: A Guide for Gaining Clarity</title>
        <itunes:title>Ep.95 - Unlocking Your Role: A Guide for Gaining Clarity</itunes:title>
        <link>https://womenindata.podbean.com/e/ep95-unlocking-your-role-a%c2%a0guide-for-gaining-clarity/</link>
                    <comments>https://womenindata.podbean.com/e/ep95-unlocking-your-role-a%c2%a0guide-for-gaining-clarity/#comments</comments>        <pubDate>Wed, 01 Nov 2023 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/dafc2801-e32b-3415-9665-a844a03372a3</guid>
                                    <description><![CDATA[<p>Ever experienced a lack of clear expectations about what was required for you to progress at work? You're not alone. </p>
<p>Lack of role definition is a common pain point in the data industry, likely due to its dynamic nature and a general lack of data literacy within organisations. Listen in as Karen and Cecilia explore how this uncertainty can make data teams feel more like a service team than a valued asset, and the critical role of leadership in providing clear career guidance. 
Moving forward, they shift their focus to stress management and how a lack of control and support at the workplace can dampen motivation among data professionals. They then share some tried and tested strategies to regain control and chart a way forward. Lastly, they craft a comprehensive personal development plan, emphasising the importance of setting clear goals, involving your manager in the process, and regularly reflecting on your strengths and aspirations. Listen to this episode for these insights and more! </p>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Ever experienced a lack of clear expectations about what was required for you to progress at work? You're not alone. </p>
<p>Lack of role definition is a common pain point in the data industry, likely due to its dynamic nature and a general lack of data literacy within organisations. Listen in as Karen and Cecilia explore how this uncertainty can make data teams feel more like a service team than a valued asset, and the critical role of leadership in providing clear career guidance. <br>
Moving forward, they shift their focus to stress management and how a lack of control and support at the workplace can dampen motivation among data professionals. They then share some tried and tested strategies to regain control and chart a way forward. Lastly, they craft a comprehensive personal development plan, emphasising the importance of setting clear goals, involving your manager in the process, and regularly reflecting on your strengths and aspirations. Listen to this episode for these insights and more! </p>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/csuh3s/Ep95_Clarifying_roles_expectations7h8sw.mp3" length="22184695" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Ever experienced a lack of clear expectations about what was required for you to progress at work? You're not alone. 
Lack of role definition is a common pain point in the data industry, likely due to its dynamic nature and a general lack of data literacy within organisations. Listen in as Karen and Cecilia explore how this uncertainty can make data teams feel more like a service team than a valued asset, and the critical role of leadership in providing clear career guidance. Moving forward, they shift their focus to stress management and how a lack of control and support at the workplace can dampen motivation among data professionals. They then share some tried and tested strategies to regain control and chart a way forward. Lastly, they craft a comprehensive personal development plan, emphasising the importance of setting clear goals, involving your manager in the process, and regularly reflecting on your strengths and aspirations. Listen to this episode for these insights and more! 
 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1584</itunes:duration>
                <itunes:episode>97</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.94 - November Update</title>
        <itunes:title>Ep.94 - November Update</itunes:title>
        <link>https://womenindata.podbean.com/e/ep94-november-update/</link>
                    <comments>https://womenindata.podbean.com/e/ep94-november-update/#comments</comments>        <pubDate>Tue, 31 Oct 2023 05:00:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/ed1400ff-67b8-3371-b003-21d2add9f977</guid>
                                    <description><![CDATA[<p>November will be an incredible month on the Women in Data podcast with 3 new episodes coming out.
In this month's update, we talk about where we are at with the mentoring competition and introduce the episodes to come.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>November will be an incredible month on the Women in Data podcast with 3 new episodes coming out.<br>
In this month's update, we talk about where we are at with the mentoring competition and introduce the episodes to come.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/gvy2g6/Ep94_November_Updateb1sn6.mp3" length="16154451" type="audio/mpeg"/>
        <itunes:summary><![CDATA[November will be an incredible month on the Women in Data podcast with 3 new episodes coming out.In this month's update, we talk about where we are at with the mentoring competition and introduce the episodes to come.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1009</itunes:duration>
                <itunes:episode>96</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.93 Michelle Conway and Sarah Schlobohm- Machine Learning in the Real World Lessons from the Experts</title>
        <itunes:title>Ep.93 Michelle Conway and Sarah Schlobohm- Machine Learning in the Real World Lessons from the Experts</itunes:title>
        <link>https://womenindata.podbean.com/e/ep93-michelle-conway-and-sarah-schlobohm-machine-learning-in-the-real-world-lessons-from-the-experts/</link>
                    <comments>https://womenindata.podbean.com/e/ep93-michelle-conway-and-sarah-schlobohm-machine-learning-in-the-real-world-lessons-from-the-experts/#comments</comments>        <pubDate>Wed, 18 Oct 2023 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/b9e04941-0098-38b3-b5a5-75b65aced36c</guid>
                                    <description><![CDATA[<p>Welcome to another captivating episode of the Women in Data® Podcast! Today Karen is joined by two exceptional experts in the field: Michelle Conway, Lead Data Scientist at Lloyds Banking Group, and Sarah Schlobohm, Head of AI and Particle Physicist. Together they discuss the world of Machine Learning Ops.  A central theme of the discussion revolves around the lifecycle of MLOps and the concept of Machine Learning as a "solution to a problem”. Michelle, Sarah and Karen delve into this idea, stressing the importance of identifying the right opportunities for Machine Learning to truly be effective. They discuss how businesses can avoid falling into the trap of implementing ML without a clear understanding of appropriate applications.  They also highlight how Machine Learning doesn't operate in isolation but requires seamless integration with other data departments, such as data governance. This comprehensive approach ensures that ML initiatives are well-aligned with the overall data strategy of the organisation, leading to more successful outcomes.  This episode is a must-listen for anybody looking to learn more about ML Ops and the potential applications of this exciting field. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Welcome to another captivating episode of the Women in Data® Podcast! Today Karen is joined by two exceptional experts in the field: Michelle Conway, Lead Data Scientist at Lloyds Banking Group, and Sarah Schlobohm, Head of AI and Particle Physicist. Together they discuss the world of Machine Learning Ops. <br class="SCXW134310351 BCX0" /> <br class="SCXW134310351 BCX0" />A central theme of the discussion revolves around the lifecycle of MLOps and the concept of Machine Learning as a "solution to a problem”. Michelle, Sarah and Karen delve into this idea, stressing the importance of identifying the right opportunities for Machine Learning to truly be effective. They discuss how businesses can avoid falling into the trap of implementing ML without a clear understanding of appropriate applications. <br class="SCXW134310351 BCX0" /> <br class="SCXW134310351 BCX0" />They also highlight how Machine Learning doesn't operate in isolation but requires seamless integration with other data departments, such as data governance. This comprehensive approach ensures that ML initiatives are well-aligned with the overall data strategy of the organisation, leading to more successful outcomes. <br class="SCXW134310351 BCX0" /> <br class="SCXW134310351 BCX0" />This episode is a must-listen for anybody looking to learn more about ML Ops and the potential applications of this exciting field. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/n9uawi/Ep93_Michelle_Conway_and_Sarah_Schlobohm-_Machine_Learning_in_the_Real_World_Lessons_from_the_Expertsazram.mp3" length="26906126" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Welcome to another captivating episode of the Women in Data® Podcast! Today Karen is joined by two exceptional experts in the field: Michelle Conway, Lead Data Scientist at Lloyds Banking Group, and Sarah Schlobohm, Head of AI and Particle Physicist. Together they discuss the world of Machine Learning Ops.  A central theme of the discussion revolves around the lifecycle of MLOps and the concept of Machine Learning as a "solution to a problem”. Michelle, Sarah and Karen delve into this idea, stressing the importance of identifying the right opportunities for Machine Learning to truly be effective. They discuss how businesses can avoid falling into the trap of implementing ML without a clear understanding of appropriate applications.  They also highlight how Machine Learning doesn't operate in isolation but requires seamless integration with other data departments, such as data governance. This comprehensive approach ensures that ML initiatives are well-aligned with the overall data strategy of the organisation, leading to more successful outcomes.  This episode is a must-listen for anybody looking to learn more about ML Ops and the potential applications of this exciting field. ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1681</itunes:duration>
                <itunes:episode>95</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.92 Salla Franzén- Data Leadership: A Journey of Delight and Discovery</title>
        <itunes:title>Ep.92 Salla Franzén- Data Leadership: A Journey of Delight and Discovery</itunes:title>
        <link>https://womenindata.podbean.com/e/ep92-salla-franzen-data-leadership-a-journey-of-delight-and-discovery/</link>
                    <comments>https://womenindata.podbean.com/e/ep92-salla-franzen-data-leadership-a-journey-of-delight-and-discovery/#comments</comments>        <pubDate>Wed, 04 Oct 2023 19:36:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/dac42a18-834e-3536-8da3-07f3d6e769c8</guid>
                                    <description><![CDATA[<p>In this Women in Data® episode, Karen is joined by Salla Franzén, Investment Manager at Navigare Ventures. Together, they delve into a captivating discussion about the crucial role of leadership in shaping successful data-driven organisations.   Salla and Karen highlight how essential it is to maintain a sense of wonder in the world of data. Salla shares her perspective on finding delight in the intricate web of data work and how cultivating this enthusiasm can lead to innovation and learning. The pair also discusses how to provide an environment that encourages individuals to step out of their comfort zones, enabling them to discover their potential and excel in their roles. Salla stresses the importance of creating an atmosphere characterised by kindness, humbleness, and curiosity – values that not only foster collaboration but also drive continuous improvement.  Tune into this Women in Data® episode and discover how to lead with purpose, infuse joy into data work, and inspire teams to excel in data-driven organisations.   </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this Women in Data® episode, Karen is joined by Salla Franzén, Investment Manager at Navigare Ventures. Together, they delve into a captivating discussion about the crucial role of leadership in shaping successful data-driven organisations. <br class="SCXW79530336 BCX0" />  <br class="SCXW79530336 BCX0" />Salla and Karen highlight how essential it is to maintain a sense of wonder in the world of data. Salla shares her perspective on finding delight in the intricate web of data work and how cultivating this enthusiasm can lead to innovation and learning. The pair also discusses how to provide an environment that encourages individuals to step out of their comfort zones, enabling them to discover their potential and excel in their roles. Salla stresses the importance of creating an atmosphere characterised by kindness, humbleness, and curiosity – values that not only foster collaboration but also drive continuous improvement. <br class="SCXW79530336 BCX0" /> <br class="SCXW79530336 BCX0" />Tune into this Women in Data® episode and discover how to lead with purpose, infuse joy into data work, and inspire teams to excel in data-driven organisations.   </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/jui3en/Ep92_Salla_Franzen-_Data_Leadership_A_Journey_of_Delight_and_Discoverya0fm4.mp3" length="21183492" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this Women in Data® episode, Karen is joined by Salla Franzén, Investment Manager at Navigare Ventures. Together, they delve into a captivating discussion about the crucial role of leadership in shaping successful data-driven organisations.   Salla and Karen highlight how essential it is to maintain a sense of wonder in the world of data. Salla shares her perspective on finding delight in the intricate web of data work and how cultivating this enthusiasm can lead to innovation and learning. The pair also discusses how to provide an environment that encourages individuals to step out of their comfort zones, enabling them to discover their potential and excel in their roles. Salla stresses the importance of creating an atmosphere characterised by kindness, humbleness, and curiosity – values that not only foster collaboration but also drive continuous improvement.  Tune into this Women in Data® episode and discover how to lead with purpose, infuse joy into data work, and inspire teams to excel in data-driven organisations.   ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1323</itunes:duration>
                <itunes:episode>94</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.91 - October Update</title>
        <itunes:title>Ep.91 - October Update</itunes:title>
        <link>https://womenindata.podbean.com/e/ep91-october-update/</link>
                    <comments>https://womenindata.podbean.com/e/ep91-october-update/#comments</comments>        <pubDate>Mon, 02 Oct 2023 00:10:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/f29a0c97-dc81-31de-bc2f-b0ed9e14f1a4</guid>
                                    <description><![CDATA[<p>This month, we're making waves with an exciting competition that could land you a 45-minute mentoring session with one of our industry's finest. In this month’s update, we share the details of the competition, look back at last month’s data conferences we attended in London and South Africa, and talk about what’s to come on the podcast in October. You will hear about Big Data London and BI and Innovation Fest, but also about the upcoming episodes on data leadership with Salla Franzen and ML in the real world with Michelle Conway and Sarah Schlobohm.</p>
<p> </p>
<p>Follow Women in Data on LinkedIn to stay updated on the competition.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This month, we're making waves with an exciting competition that could land you a 45-minute mentoring session with one of our industry's finest. In this month’s update, we share the details of the competition, look back at last month’s data conferences we attended in London and South Africa, and talk about what’s to come on the podcast in October. You will hear about Big Data London and BI and Innovation Fest, but also about the upcoming episodes on data leadership with Salla Franzen and ML in the real world with Michelle Conway and Sarah Schlobohm.</p>
<p> </p>
<p>Follow Women in Data on LinkedIn to stay updated on the competition.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/gi44bm/Episode_91_OctoberUpdate8puxz.mp3" length="13345124" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This month, we're making waves with an exciting competition that could land you a 45-minute mentoring session with one of our industry's finest. In this month’s update, we share the details of the competition, look back at last month’s data conferences we attended in London and South Africa, and talk about what’s to come on the podcast in October. You will hear about Big Data London and BI and Innovation Fest, but also about the upcoming episodes on data leadership with Salla Franzen and ML in the real world with Michelle Conway and Sarah Schlobohm.
 
Follow Women in Data on LinkedIn to stay updated on the competition.]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>929</itunes:duration>
                <itunes:episode>93</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.90 Abi Aryan - Small but Mighty: Thriving in Compact Data Teams</title>
        <itunes:title>Ep.90 Abi Aryan - Small but Mighty: Thriving in Compact Data Teams</itunes:title>
        <link>https://womenindata.podbean.com/e/ep90-abi-aryan-small-but-mighty-thriving-in-compact-data-teams/</link>
                    <comments>https://womenindata.podbean.com/e/ep90-abi-aryan-small-but-mighty-thriving-in-compact-data-teams/#comments</comments>        <pubDate>Wed, 20 Sep 2023 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/4d9daa76-10b1-352e-8d8a-b32980cd9eda</guid>
                                    <description><![CDATA[<p>In this episode, Karen and Cecilia are joined by Abi Aryan, a Machine Learning Engineer and author for O'Reilly book on LLMOps. Throughout the episode Karen, Cecilia, and Abby open up about their personal experiences working in very small teams. They chat about the pros and cons and dive into the obstacles they've come across in these setups. They tackle the reality of having a smaller collective voice and the significant responsibility of being the sole data representative, which can sometimes feel overwhelming. Such challenges stress the resourcefulness and resilience required in technical roles, as data professionals must often rely on their own expertise and problem-solving skills to navigate complex challenges. </p>
<p>Enjoy!</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Karen and Cecilia are joined by Abi Aryan, a Machine Learning Engineer and author for O'Reilly book on LLMOps. <br class="SCXW131349421 BCX0" />Throughout the episode Karen, Cecilia, and Abby open up about their personal experiences working in very small teams. They chat about the pros and cons and dive into the obstacles they've come across in these setups. They tackle the reality of having a smaller collective voice and the significant responsibility of being the sole data representative, which can sometimes feel overwhelming. <br class="SCXW131349421 BCX0" />Such challenges stress the resourcefulness and resilience required in technical roles, as data professionals must often rely on their own expertise and problem-solving skills to navigate complex challenges. </p>
<p>Enjoy!</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/dumrqz/Ep90_Abi_Aryan_-_Small_but_Mighty_Thriving_in_Compact_Data_Teamsb87f0.mp3" length="24575314" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Karen and Cecilia are joined by Abi Aryan, a Machine Learning Engineer and author for O'Reilly book on LLMOps. Throughout the episode Karen, Cecilia, and Abby open up about their personal experiences working in very small teams. They chat about the pros and cons and dive into the obstacles they've come across in these setups. They tackle the reality of having a smaller collective voice and the significant responsibility of being the sole data representative, which can sometimes feel overwhelming. Such challenges stress the resourcefulness and resilience required in technical roles, as data professionals must often rely on their own expertise and problem-solving skills to navigate complex challenges. 
Enjoy!]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1755</itunes:duration>
                <itunes:episode>92</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.89 Rianna Kelly - Guide to Seamless Data Team Onboarding</title>
        <itunes:title>Ep.89 Rianna Kelly - Guide to Seamless Data Team Onboarding</itunes:title>
        <link>https://womenindata.podbean.com/e/ep89-rianna-kelly-guide-to-seamless-data-team-onboarding/</link>
                    <comments>https://womenindata.podbean.com/e/ep89-rianna-kelly-guide-to-seamless-data-team-onboarding/#comments</comments>        <pubDate>Wed, 06 Sep 2023 18:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/2dbf2d03-0d4a-3032-9aac-66b01cf25610</guid>
                                    <description><![CDATA[<p>In this episode, Karen is joined by Rianna Kelly, Head of Product Analytics &amp; Data Scientist at ZEPZ, to discuss the intricacies of onboarding experiences within data teams. </p>
<p>While the onboarding period may be relatively brief in one's tenure, its significance is undeniable as it sets the scene for what’s to come. The realm of data work is notably complex, demanding a grasp of technology, data, processes, and business acumen, rendering onboarding in data teams a unique challenge.   </p>
<p>Throughout the conversation, Rianna uses her expertise to describe the components of a great onboarding experience and shares practical strategies to make it easier. She emphasises the significance of documentation in efficiently navigating different data products, providing essential tips to streamline the integration process. Karen and Rianna also debate the optimal speed at which to absorb new information and build connections without feeling inundated by the sea of new faces and challenges.   </p>
<p> </p>
<p>Enjoy!</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Karen is joined by Rianna Kelly, Head of Product Analytics &amp; Data Scientist at ZEPZ, to discuss the intricacies of onboarding experiences within data teams. </p>
<p><br class="SCXW245422223 BCX0" />While the onboarding period may be relatively brief in one's tenure, its significance is undeniable as it sets the scene for what’s to come. The realm of data work is notably complex, demanding a grasp of technology, data, processes, and business acumen, rendering onboarding in data teams a unique challenge.   </p>
<p><br class="SCXW245422223 BCX0" />Throughout the conversation, Rianna uses her expertise to describe the components of a great onboarding experience and shares practical strategies to make it easier. She emphasises the significance of documentation in efficiently navigating different data products, providing essential tips to streamline the integration process. Karen and Rianna also debate the optimal speed at which to absorb new information and build connections without feeling inundated by the sea of new faces and challenges.   </p>
<p> </p>
<p>Enjoy!</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/ygq8cx/Ep89_Rianna_Kelly_Guide_to_Seamless_Data_Team_Onboarding8ws7m.mp3" length="20554289" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Karen is joined by Rianna Kelly, Head of Product Analytics &amp; Data Scientist at ZEPZ, to discuss the intricacies of onboarding experiences within data teams. 
While the onboarding period may be relatively brief in one's tenure, its significance is undeniable as it sets the scene for what’s to come. The realm of data work is notably complex, demanding a grasp of technology, data, processes, and business acumen, rendering onboarding in data teams a unique challenge.   
Throughout the conversation, Rianna uses her expertise to describe the components of a great onboarding experience and shares practical strategies to make it easier. She emphasises the significance of documentation in efficiently navigating different data products, providing essential tips to streamline the integration process. Karen and Rianna also debate the optimal speed at which to absorb new information and build connections without feeling inundated by the sea of new faces and challenges.   
 
Enjoy!]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1467</itunes:duration>
                <itunes:episode>91</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.88 - September Update</title>
        <itunes:title>Ep.88 - September Update</itunes:title>
        <link>https://womenindata.podbean.com/e/ep88-september-update/</link>
                    <comments>https://womenindata.podbean.com/e/ep88-september-update/#comments</comments>        <pubDate>Fri, 01 Sep 2023 06:00:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/e1557c53-2dea-3ace-b28d-9398601d98a0</guid>
                                    <description><![CDATA[<p>We are trying something new!</p>
<p>In this special episode, Karen and Cecilia engage in a brief conversation about their summer experiences and share some valuable lessons they've learned. They then shift the discussion towards what you can expect on the podcast in September.</p>
<p>Enjoy!</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>We are trying something new!</p>
<p>In this special episode, Karen and Cecilia engage in a brief conversation about their summer experiences and share some valuable lessons they've learned. They then shift the discussion towards what you can expect on the podcast in September.</p>
<p>Enjoy!</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/f75zab/Episode_88_September_Updateakmsa.mp3" length="9949747" type="audio/mpeg"/>
        <itunes:summary><![CDATA[We are trying something new!
In this special episode, Karen and Cecilia engage in a brief conversation about their summer experiences and share some valuable lessons they've learned. They then shift the discussion towards what you can expect on the podcast in September.
Enjoy!]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>710</itunes:duration>
                <itunes:episode>90</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.87 Co-hosted - How to increase your visibility in the workplace</title>
        <itunes:title>Ep.87 Co-hosted - How to increase your visibility in the workplace</itunes:title>
        <link>https://womenindata.podbean.com/e/ep87-co-hosted-how-to-increase-your-visibility-in-the-workplace/</link>
                    <comments>https://womenindata.podbean.com/e/ep87-co-hosted-how-to-increase-your-visibility-in-the-workplace/#comments</comments>        <pubDate>Wed, 19 Jul 2023 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/c910d672-0824-31a2-9247-e8b448d72818</guid>
                                    <description><![CDATA[<p>In this episode of the Women in Data® podcast, hosts Karen and Cecilia explore a crucial and often overlooked aspect of achieving success in the data space: workplace visibility. They dive deep into effective strategies that can help individuals stand out and leave a lasting impact among their colleagues. They also provide valuable insights on the art of self-promotion, guiding listeners on how to confidently share their accomplishments, projects, and contributions without coming across as boastful. </p>
<p>This episode serves as an invaluable guide for anyone looking to increase visibility in the data workplace, whether you are just starting out or seeking to advance your career. You can expect actionable strategies and practical tips that will empower you to excel and make a significant mark in the industry. Tune in to gain invaluable insights and unlock the power of workplace visibility in the data field. </p>
<p> </p>
<p>Enjoy!</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode of the Women in Data® podcast, hosts Karen and Cecilia explore a crucial and often overlooked aspect of achieving success in the data space: workplace visibility. They dive deep into effective strategies that can help individuals stand out and leave a lasting impact among their colleagues. They also provide valuable insights on the art of self-promotion, guiding listeners on how to confidently share their accomplishments, projects, and contributions without coming across as boastful. </p>
<p>This episode serves as an invaluable guide for anyone looking to increase visibility in the data workplace, whether you are just starting out or seeking to advance your career. You can expect actionable strategies and practical tips that will empower you to excel and make a significant mark in the industry. Tune in to gain invaluable insights and unlock the power of workplace visibility in the data field. </p>
<p> </p>
<p>Enjoy!</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/78qa7q/How_to_increase_your_visibility_in_the_workplacea4tq3.mp3" length="17153987" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode of the Women in Data® podcast, hosts Karen and Cecilia explore a crucial and often overlooked aspect of achieving success in the data space: workplace visibility. They dive deep into effective strategies that can help individuals stand out and leave a lasting impact among their colleagues. They also provide valuable insights on the art of self-promotion, guiding listeners on how to confidently share their accomplishments, projects, and contributions without coming across as boastful. 
This episode serves as an invaluable guide for anyone looking to increase visibility in the data workplace, whether you are just starting out or seeking to advance your career. You can expect actionable strategies and practical tips that will empower you to excel and make a significant mark in the industry. Tune in to gain invaluable insights and unlock the power of workplace visibility in the data field. 
 
Enjoy!]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1224</itunes:duration>
                <itunes:episode>89</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.86 Liz Henderson - Transformation: An Opportunity, Not a Threat</title>
        <itunes:title>Ep.86 Liz Henderson - Transformation: An Opportunity, Not a Threat</itunes:title>
        <link>https://womenindata.podbean.com/e/ep86-liz-henderson-transformation-an-opportunity-not-a-threat/</link>
                    <comments>https://womenindata.podbean.com/e/ep86-liz-henderson-transformation-an-opportunity-not-a-threat/#comments</comments>        <pubDate>Wed, 05 Jul 2023 19:36:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/4ad3d39d-68a3-31d7-a081-4f9229bdc5e2</guid>
                                    <description><![CDATA[<p>In this podcast episode featuring Liz Henderson, Executive Advisor at Capgemini, the focus is on navigating change and making valuable contributions to overall business transformation. Liz and Karen discuss change management and how individuals and organisations can successfully navigate change. Join to hear valuable advice for becoming comfortable with business transformation and embracing it as an opportunity rather than a threat.  By becoming champions of change, Liz believes individuals can drive positive shifts and create a culture that is receptive to innovation.  While change is a topic that touches everyone, Liz approaches it with a data hat on.  Given that around 90% of data science initiatives do not achieve their objectives, she shares strategies to mitigate risks and increase the likelihood of success in data-driven projects. </p>
<p>Enjoy! </p>
<p>******************************* </p>
<p>Show notes: </p>
<p>******************************* </p>
<p>Liz’ LinkedIn: <a href='https://www.linkedin.com/in/lizhendersondata/'>https://www.linkedin.com/in/lizhendersondata/ </a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this podcast episode featuring Liz Henderson, Executive Advisor at Capgemini, the focus is on navigating change and making valuable contributions to overall business transformation. Liz and Karen discuss change management and how individuals and organisations can successfully navigate change. Join to hear valuable advice for becoming comfortable with business transformation and embracing it as an opportunity rather than a threat.  By becoming champions of change, Liz believes individuals can drive positive shifts and create a culture that is receptive to innovation.  While change is a topic that touches everyone, Liz approaches it with a data hat on.  Given that around 90% of data science initiatives do not achieve their objectives, she shares strategies to mitigate risks and increase the likelihood of success in data-driven projects. </p>
<p>Enjoy! </p>
<p>******************************* </p>
<p>Show notes: </p>
<p>******************************* </p>
<p>Liz’ LinkedIn: <a href='https://www.linkedin.com/in/lizhendersondata/'>https://www.linkedin.com/in/lizhendersondata/ </a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/pnsbji/Ep86_Liz_Henderson_-_Transformation_An_Opportunity_Not_a_Threatavzgu.mp3" length="22807658" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this podcast episode featuring Liz Henderson, Executive Advisor at Capgemini, the focus is on navigating change and making valuable contributions to overall business transformation. Liz and Karen discuss change management and how individuals and organisations can successfully navigate change. Join to hear valuable advice for becoming comfortable with business transformation and embracing it as an opportunity rather than a threat.  By becoming champions of change, Liz believes individuals can drive positive shifts and create a culture that is receptive to innovation.  While change is a topic that touches everyone, Liz approaches it with a data hat on.  Given that around 90% of data science initiatives do not achieve their objectives, she shares strategies to mitigate risks and increase the likelihood of success in data-driven projects. 
Enjoy! 
******************************* 
Show notes: 
******************************* 
Liz’ LinkedIn: https://www.linkedin.com/in/lizhendersondata/ ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1628</itunes:duration>
                <itunes:episode>88</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.85 Elevate your career in data with a better approach to learning</title>
        <itunes:title>Ep.85 Elevate your career in data with a better approach to learning</itunes:title>
        <link>https://womenindata.podbean.com/e/ep85-elevate-your-career-in-data-with-a-better-approach-to-learning/</link>
                    <comments>https://womenindata.podbean.com/e/ep85-elevate-your-career-in-data-with-a-better-approach-to-learning/#comments</comments>        <pubDate>Wed, 21 Jun 2023 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/734ac420-6396-3acc-a679-85309a673f4d</guid>
                                    <description><![CDATA[Join Karen and Cecilia in this insightful episode as they dive deep into the crucial topic of learning and development, a subject close to Karen's heart and frequently discussed in mentoring conversations. With the rapid pace of the field, navigating the vast array of skills and knowledge can often feel overwhelming, leaving us with limited time to address them all.

During their conversation, Karen and Cecilia share their top strategies for approaching learning in a sustainable and impactful manner. Discover invaluable insights on effectively deciding what to learn, prioritising topics or skills, and crafting a comprehensive development plan. Moreover, gain practical advice on overcoming common blockers that hinder progress in the learning journey.

Tune in and equip yourself with the tools and guidance to embark on a successful and fulfilling path of continuous learning in the dynamic world of data. 
Enjoy!]]></description>
                                                            <content:encoded><![CDATA[Join Karen and Cecilia in this insightful episode as they dive deep into the crucial topic of learning and development, a subject close to Karen's heart and frequently discussed in mentoring conversations. With the rapid pace of the field, navigating the vast array of skills and knowledge can often feel overwhelming, leaving us with limited time to address them all.<br>
<br>
During their conversation, Karen and Cecilia share their top strategies for approaching learning in a sustainable and impactful manner. Discover invaluable insights on effectively deciding what to learn, prioritising topics or skills, and crafting a comprehensive development plan. Moreover, gain practical advice on overcoming common blockers that hinder progress in the learning journey.<br>
<br>
Tune in and equip yourself with the tools and guidance to embark on a successful and fulfilling path of continuous learning in the dynamic world of data. 
Enjoy!]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/43ewgu/Ep85_Elevate_your_career_in_data_with_a_better_approach_to_learningb7syv.mp3" length="16319447" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Join Karen and Cecilia in this insightful episode as they dive deep into the crucial topic of learning and development, a subject close to Karen's heart and frequently discussed in mentoring conversations. With the rapid pace of the field, navigating the vast array of skills and knowledge can often feel overwhelming, leaving us with limited time to address them all.During their conversation, Karen and Cecilia share their top strategies for approaching learning in a sustainable and impactful manner. Discover invaluable insights on effectively deciding what to learn, prioritising topics or skills, and crafting a comprehensive development plan. Moreover, gain practical advice on overcoming common blockers that hinder progress in the learning journey.Tune in and equip yourself with the tools and guidance to embark on a successful and fulfilling path of continuous learning in the dynamic world of data. 
Enjoy!]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1165</itunes:duration>
                <itunes:episode>87</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.84 Tori Tompkins - Inspiring the next generation of data and tech professionals</title>
        <itunes:title>Ep.84 Tori Tompkins - Inspiring the next generation of data and tech professionals</itunes:title>
        <link>https://womenindata.podbean.com/e/ep84-tori-tompkins-inspiring-the-next-generation-of-data-and-tech-professionals/</link>
                    <comments>https://womenindata.podbean.com/e/ep84-tori-tompkins-inspiring-the-next-generation-of-data-and-tech-professionals/#comments</comments>        <pubDate>Wed, 07 Jun 2023 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/e95958ca-7caf-3ca7-9975-99d0307b177e</guid>
                                    <description><![CDATA[<p>In this episode, Karen is joined by Tori Tompkins, Senior Data Science Consultant at Advancing Analytics and founder of Girls Code Too, which she runs in collaboration with Girls in Data to create curriculums that inspire the next generation of data and tech professionals. 
 
During the conversation, Tori discusses her training in forensic computing and the journey that led her to the data science and machine learning fields. She also details the work that Girls Code Too and Girls in Data to do get more young women into the field. Tori also gives tips on how to balance maintaining a side hustle and giving back to the community, all while working full time.   </p>
<p>Enjoy! </p>
<p> </p>
<p>*************************** </p>
<p>Show Notes </p>
<p>*************************** </p>
<p>Tori’s LinkedIn: <a href='https://www.linkedin.com/in/tompkinstori/'>https://www.linkedin.com/in/tompkinstori/</a> </p>
<p> </p>
<p>We mentioned: </p>
<p>Squiggly career on Stress tolerance: <a href='https://www.amazingif.com/listen/stress-tolerance/'>https://www.amazingif.com/listen/stress-tolerance/ </a></p>
<p>Girls code too <a href='https://girlscodetoo.co.uk/#about'>https://girlscodetoo.co.uk/#about </a></p>
<p>Girls in data: <a href='https://girlsindata.co.uk/'>https://girlsindata.co.uk/ </a></p>
<p> </p>
<p>Tori recommends  </p>
<p>AI weirdness: <a href='https://www.aiweirdness.com/'>https://www.aiweirdness.com/</a> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode, Karen is joined by Tori Tompkins, Senior Data Science Consultant at Advancing Analytics and founder of Girls Code Too, which she runs in collaboration with Girls in Data to create curriculums that inspire the next generation of data and tech professionals. <br>
 <br>
During the conversation, Tori discusses her training in forensic computing and the journey that led her to the data science and machine learning fields. She also details the work that Girls Code Too and Girls in Data to do get more young women into the field. Tori also gives tips on how to balance maintaining a side hustle and giving back to the community, all while working full time.   </p>
<p>Enjoy! </p>
<p> </p>
<p>*************************** </p>
<p>Show Notes </p>
<p>*************************** </p>
<p>Tori’s LinkedIn: <a href='https://www.linkedin.com/in/tompkinstori/'>https://www.linkedin.com/in/tompkinstori/</a> </p>
<p> </p>
<p>We mentioned: </p>
<p>Squiggly career on Stress tolerance: <a href='https://www.amazingif.com/listen/stress-tolerance/'>https://www.amazingif.com/listen/stress-tolerance/ </a></p>
<p>Girls code too <a href='https://girlscodetoo.co.uk/#about'>https://girlscodetoo.co.uk/#about </a></p>
<p>Girls in data: <a href='https://girlsindata.co.uk/'>https://girlsindata.co.uk/ </a></p>
<p> </p>
<p>Tori recommends  </p>
<p>AI weirdness: <a href='https://www.aiweirdness.com/'>https://www.aiweirdness.com/</a> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/kynr43/Ep84_Inspiring_the_next_generation_of_data_and_tech_professionalsawf7t.mp3" length="23926863" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode, Karen is joined by Tori Tompkins, Senior Data Science Consultant at Advancing Analytics and founder of Girls Code Too, which she runs in collaboration with Girls in Data to create curriculums that inspire the next generation of data and tech professionals.  During the conversation, Tori discusses her training in forensic computing and the journey that led her to the data science and machine learning fields. She also details the work that Girls Code Too and Girls in Data to do get more young women into the field. Tori also gives tips on how to balance maintaining a side hustle and giving back to the community, all while working full time.   
Enjoy! 
 
*************************** 
Show Notes 
*************************** 
Tori’s LinkedIn: https://www.linkedin.com/in/tompkinstori/ 
 
We mentioned: 
Squiggly career on Stress tolerance: https://www.amazingif.com/listen/stress-tolerance/ 
Girls code too https://girlscodetoo.co.uk/#about 
Girls in data: https://girlsindata.co.uk/ 
 
Tori recommends  
AI weirdness: https://www.aiweirdness.com/ ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1708</itunes:duration>
                <itunes:episode>86</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.83 -Cross-Functional Collaboration - using your data translator skills</title>
        <itunes:title>Ep.83 -Cross-Functional Collaboration - using your data translator skills</itunes:title>
        <link>https://womenindata.podbean.com/e/ep83-cross-functional-collaboration-using-your-data-translator-skills/</link>
                    <comments>https://womenindata.podbean.com/e/ep83-cross-functional-collaboration-using-your-data-translator-skills/#comments</comments>        <pubDate>Wed, 24 May 2023 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/9fa9d6f4-6ba4-3036-8a3a-27892b71855a</guid>
                                    <description><![CDATA[In this second co-hosted episode, Karen and Cecilia discuss cross-functional collaboration, building on episode 76 with Wendy Lynch.

They talk about Wendy's role as an Analytics Translator, which particularly resonated with Cecilia - bridging the gap between technical and non-technical teams that do not always fully understand each other's work.  The pair also consider examples of when strained working relationships with other teams get in the way of good business outcomes.  How can this can be overcome, leading to greater impact and better personal relationships?  Finally, Karen and Cecilia ponder how to answer the classic question of what you do for a living to non-data experts.
]]></description>
                                                            <content:encoded><![CDATA[In this second co-hosted episode, Karen and Cecilia discuss cross-functional collaboration, building on episode 76 with Wendy Lynch.<br>
<br>
They talk about Wendy's role as an Analytics Translator, which particularly resonated with Cecilia - bridging the gap between technical and non-technical teams that do not always fully understand each other's work.  The pair also consider examples of when strained working relationships with other teams get in the way of good business outcomes.  How can this can be overcome, leading to greater impact and better personal relationships?  Finally, Karen and Cecilia ponder how to answer the classic question of what you do for a living to non-data experts.
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/p4de92/Ep83_Cross-Functional_Collaboration_-_using_your_data_translator_skills8jtem.mp3" length="20360763" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this second co-hosted episode, Karen and Cecilia discuss cross-functional collaboration, building on episode 76 with Wendy Lynch.They talk about Wendy's role as an Analytics Translator, which particularly resonated with Cecilia - bridging the gap between technical and non-technical teams that do not always fully understand each other's work.  The pair also consider examples of when strained working relationships with other teams get in the way of good business outcomes.  How can this can be overcome, leading to greater impact and better personal relationships?  Finally, Karen and Cecilia ponder how to answer the classic question of what you do for a living to non-data experts.
]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1454</itunes:duration>
                <itunes:episode>85</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.82 Niamh Broderick - From manager to individual contributor: a journey back to data science</title>
        <itunes:title>Ep.82 Niamh Broderick - From manager to individual contributor: a journey back to data science</itunes:title>
        <link>https://womenindata.podbean.com/e/ep82-niamh-broderick-from-manager-to-individual-contributor-a-journey-back-to-data-science/</link>
                    <comments>https://womenindata.podbean.com/e/ep82-niamh-broderick-from-manager-to-individual-contributor-a-journey-back-to-data-science/#comments</comments>        <pubDate>Wed, 10 May 2023 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/651b946c-877d-359f-a79e-fd02d539798f</guid>
                                    <description><![CDATA[<p>In this episode of the Women in Data podcast, Karen is joined by Niamh Broderick, Data Scientist at Monzo Bank, who shares her experience of transitioning from a manager to an individual contributor (IC). She talks about how realising she was getting her energy from working on technical challenges and coding rather than managing people lead to the change in direction.  </p>
<p>Throughout the episode, Niamh and Karen discuss the differences and overlaps between the role of a manager and that of an IC, as well as the challenges Niamh encountered in both roles.  This episode is a must-listen for anybody considering management roles as a way to have a broader impact </p>
<p>********************************* </p>
<p>Show notes: </p>
<p>********************************* </p>
<p>Niamh’s LinkedIn: <a href='https://www.linkedin.com/in/niamh-broderick-69623376/'>https://www.linkedin.com/in/niamh-broderick-69623376/</a><a href='https://www.linkedin.com/in/niamh-broderick-69623376/'> </a></p>
<p>She recommends: </p>
<p><a href='https://staffeng.com/book'>Staff Engineer: Leadership beyond the management track  </a></p>
<p><a href='https://staffeng.com/book'>https://staffeng.com/book </a></p>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode of the Women in Data podcast, Karen is joined by Niamh Broderick, Data Scientist at Monzo Bank, who shares her experience of transitioning from a manager to an individual contributor (IC). She talks about how realising she was getting her energy from working on technical challenges and coding rather than managing people lead to the change in direction.  </p>
<p>Throughout the episode, Niamh and Karen discuss the differences and overlaps between the role of a manager and that of an IC, as well as the challenges Niamh encountered in both roles.  This episode is a must-listen for anybody considering management roles as a way to have a broader impact </p>
<p>********************************* </p>
<p>Show notes: </p>
<p>********************************* </p>
<p>Niamh’s LinkedIn: <a href='https://www.linkedin.com/in/niamh-broderick-69623376/'>https://www.linkedin.com/in/niamh-broderick-69623376/</a><a href='https://www.linkedin.com/in/niamh-broderick-69623376/'> </a></p>
<p>She recommends: </p>
<p><a href='https://staffeng.com/book'>Staff Engineer: Leadership beyond the management track  </a></p>
<p><a href='https://staffeng.com/book'>https://staffeng.com/book </a></p>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/hxeeru/From_manager_to_individual_contributor_a_journey_back_to_data_science7aewb.mp3" length="20675655" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode of the Women in Data podcast, Karen is joined by Niamh Broderick, Data Scientist at Monzo Bank, who shares her experience of transitioning from a manager to an individual contributor (IC). She talks about how realising she was getting her energy from working on technical challenges and coding rather than managing people lead to the change in direction.  
Throughout the episode, Niamh and Karen discuss the differences and overlaps between the role of a manager and that of an IC, as well as the challenges Niamh encountered in both roles.  This episode is a must-listen for anybody considering management roles as a way to have a broader impact 
********************************* 
Show notes: 
********************************* 
Niamh’s LinkedIn: https://www.linkedin.com/in/niamh-broderick-69623376/ 
She recommends: 
Staff Engineer: Leadership beyond the management track  
https://staffeng.com/book 
 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1476</itunes:duration>
                <itunes:episode>84</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.81 Cecilia Oliveira - Pivot to data: the story of a successful career changes</title>
        <itunes:title>Ep.81 Cecilia Oliveira - Pivot to data: the story of a successful career changes</itunes:title>
        <link>https://womenindata.podbean.com/e/ep81-cecilia-oliveira-pivot-to-data-the-story-of-a-successful-career-changes/</link>
                    <comments>https://womenindata.podbean.com/e/ep81-cecilia-oliveira-pivot-to-data-the-story-of-a-successful-career-changes/#comments</comments>        <pubDate>Wed, 26 Apr 2023 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/8f44af1d-6d7a-3392-8246-89e443a4ab35</guid>
                                    <description><![CDATA[<p>In this episode of Women in Data, Karen is joined by Cecilia Oliveira, new co-host of the series, as she recounts her transition from a career in sales and hospitality to the field of data. Cecilia talks about the challenges she faced as she tried to navigate a new industry and how imposter syndrome became a challenge when meeting graduates who had taken a traditional STEM route into data. </p>
<p>Cecilia and Karen discuss the advantages of life skills and industry experience when starting a job in a new industry and how to use skills gained in other fields to one’s advantage. </p>
<p>Cecilia's story is an inspiration for anyone who is considering making a career change or trying to transition into a new field.  </p>
<p>*************************** </p>
<p>Show notes: </p>
<p>*************************** </p>
<p>Cecilia’s LinkedIn:<a href='https://www.linkedin.com/in/ceciliagoliveira/'>https://www.linkedin.com/in/ceciliagoliveira/</a></p>
<p>We mentioned the following episodes: </p>
<p>Ep.79 Jackie Carter - Thinking creatively about talent pipelines into data careers </p>
<p>Ep.76 Wendy Lynch - The value of Analytics Translators </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode of Women in Data, Karen is joined by Cecilia Oliveira, new co-host of the series, as she recounts her transition from a career in sales and hospitality to the field of data. Cecilia talks about the challenges she faced as she tried to navigate a new industry and how imposter syndrome became a challenge when meeting graduates who had taken a traditional STEM route into data. </p>
<p>Cecilia and Karen discuss the advantages of life skills and industry experience when starting a job in a new industry and how to use skills gained in other fields to one’s advantage. </p>
<p>Cecilia's story is an inspiration for anyone who is considering making a career change or trying to transition into a new field.  </p>
<p>*************************** </p>
<p>Show notes: </p>
<p>*************************** </p>
<p>Cecilia’s LinkedIn:<a href='https://www.linkedin.com/in/ceciliagoliveira/'>https://www.linkedin.com/in/ceciliagoliveira/</a></p>
<p>We mentioned the following episodes: </p>
<p>Ep.79 Jackie Carter - Thinking creatively about talent pipelines into data careers </p>
<p>Ep.76 Wendy Lynch - The value of Analytics Translators </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/v2jt65/Ep81_Cecilia_Oliveira_-_Pivot_to_data_the_story_of_a_successful_career_changes84c4w.mp3" length="24883330" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this episode of Women in Data, Karen is joined by Cecilia Oliveira, new co-host of the series, as she recounts her transition from a career in sales and hospitality to the field of data. Cecilia talks about the challenges she faced as she tried to navigate a new industry and how imposter syndrome became a challenge when meeting graduates who had taken a traditional STEM route into data. 
Cecilia and Karen discuss the advantages of life skills and industry experience when starting a job in a new industry and how to use skills gained in other fields to one’s advantage. 
Cecilia's story is an inspiration for anyone who is considering making a career change or trying to transition into a new field.  
*************************** 
Show notes: 
*************************** 
Cecilia’s LinkedIn:https://www.linkedin.com/in/ceciliagoliveira/
We mentioned the following episodes: 
Ep.79 Jackie Carter - Thinking creatively about talent pipelines into data careers 
Ep.76 Wendy Lynch - The value of Analytics Translators ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1777</itunes:duration>
                <itunes:episode>83</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.80 Nicole Ramsden - Leading outside of your comfort zone</title>
        <itunes:title>Ep.80 Nicole Ramsden - Leading outside of your comfort zone</itunes:title>
        <link>https://womenindata.podbean.com/e/ep80-nicole-ramsden-leading-outside-of-your-comfort-zone/</link>
                    <comments>https://womenindata.podbean.com/e/ep80-nicole-ramsden-leading-outside-of-your-comfort-zone/#comments</comments>        <pubDate>Wed, 12 Apr 2023 19:35:00 +0200</pubDate>
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                                    <description><![CDATA[<p>This week, Karen is joined by Nicole Ramsden, Chief Data Office Lead at JP Morgan. Throughout her career, Nicole has worn various hats in many locations, but when she was appointed to build a new data function for JP Morgan, she found herself leading outside of her comfort zone. In this episode, hear how she overcame these challenges to build a high-performing chief data office while ensuring a diverse talent pipeline. </p>
<p> </p>
<p>Enjoy! </p>
<p>*********************** </p>
<p>Show notes: </p>
<p>*********************** </p>
<p>Nicole’s LinkedIn: https://www.linkedin.com/in/nicole-ramsden-71731224/ </p>
<p>She recommends </p>
<p>Gallup’s strength assessment: <a href='https://www.gallup.com/cliftonstrengths/en/252137/home.aspx?utm_source=google&utm_medium=cpc&utm_campaign=uk_branded_cs_ecom&utm_term=gallup%20strengths&gclid=CjwKCAjw8JKbBhBYEiwAs3sxN405VarwaMjnMwlVHNPcMn7p2C6a0rrBD3NBIKMbHc2OQAhsOVrEUxoCE8EQAvD_BwE'>https://www.gallup.com/cliftonstrengths/en/252137/home.aspx?utm_source=google&utm_medium=cpc&utm_campaign=uk_branded_cs_ecom&utm_term=gallup%20strengths&gclid=CjwKCAjw8JKbBhBYEiwAs3sxN405VarwaMjnMwlVHNPcMn7p2C6a0rrBD3NBIKMbHc2OQAhsOVrEUxoCE8EQAvD_BwE</a> </p>
<p>JP Morgan’s reading list: https://www.jpmorgan.com/news/jpmorgan-launches-23rd-annual-summer-reading-list  </p>
<p>A race for tomorrow: <a href='https://www.goodreads.com/en/book/show/58950517-race-for-tomorrow'>https://www.goodreads.com/en/book/show/58950517-race-for-tomorrow</a> </p>
<p>CEO Excellence: <a href='https://www.mckinsey.com/featured-insights/mckinsey-on-books/ceo-excellence'>https://www.mckinsey.com/featured-insights/mckinsey-on-books/ceo-excellence</a> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Nicole Ramsden, Chief Data Office Lead at JP Morgan. Throughout her career, Nicole has worn various hats in many locations, but when she was appointed to build a new data function for JP Morgan, she found herself leading outside of her comfort zone. In this episode, hear how she overcame these challenges to build a high-performing chief data office while ensuring a diverse talent pipeline. </p>
<p> </p>
<p>Enjoy! </p>
<p>*********************** </p>
<p>Show notes: </p>
<p>*********************** </p>
<p>Nicole’s LinkedIn: https://www.linkedin.com/in/nicole-ramsden-71731224/ </p>
<p>She recommends </p>
<p>Gallup’s strength assessment: <a href='https://www.gallup.com/cliftonstrengths/en/252137/home.aspx?utm_source=google&utm_medium=cpc&utm_campaign=uk_branded_cs_ecom&utm_term=gallup%20strengths&gclid=CjwKCAjw8JKbBhBYEiwAs3sxN405VarwaMjnMwlVHNPcMn7p2C6a0rrBD3NBIKMbHc2OQAhsOVrEUxoCE8EQAvD_BwE'>https://www.gallup.com/cliftonstrengths/en/252137/home.aspx?utm_source=google&utm_medium=cpc&utm_campaign=uk_branded_cs_ecom&utm_term=gallup%20strengths&gclid=CjwKCAjw8JKbBhBYEiwAs3sxN405VarwaMjnMwlVHNPcMn7p2C6a0rrBD3NBIKMbHc2OQAhsOVrEUxoCE8EQAvD_BwE</a> </p>
<p>JP Morgan’s reading list: https://www.jpmorgan.com/news/jpmorgan-launches-23rd-annual-summer-reading-list  </p>
<p>A race for tomorrow: <a href='https://www.goodreads.com/en/book/show/58950517-race-for-tomorrow'>https://www.goodreads.com/en/book/show/58950517-race-for-tomorrow</a> </p>
<p>CEO Excellence: <a href='https://www.mckinsey.com/featured-insights/mckinsey-on-books/ceo-excellence'>https://www.mckinsey.com/featured-insights/mckinsey-on-books/ceo-excellence</a> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/gn94yc/Ep80_Nicole_Ramsden7ws5z.mp3" length="16438858" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Nicole Ramsden, Chief Data Office Lead at JP Morgan. Throughout her career, Nicole has worn various hats in many locations, but when she was appointed to build a new data function for JP Morgan, she found herself leading outside of her comfort zone. In this episode, hear how she overcame these challenges to build a high-performing chief data office while ensuring a diverse talent pipeline. 
 
Enjoy! 
*********************** 
Show notes: 
*********************** 
Nicole’s LinkedIn: https://www.linkedin.com/in/nicole-ramsden-71731224/ 
She recommends 
Gallup’s strength assessment: https://www.gallup.com/cliftonstrengths/en/252137/home.aspx?utm_source=google&utm_medium=cpc&utm_campaign=uk_branded_cs_ecom&utm_term=gallup%20strengths&gclid=CjwKCAjw8JKbBhBYEiwAs3sxN405VarwaMjnMwlVHNPcMn7p2C6a0rrBD3NBIKMbHc2OQAhsOVrEUxoCE8EQAvD_BwE 
JP Morgan’s reading list: https://www.jpmorgan.com/news/jpmorgan-launches-23rd-annual-summer-reading-list  
A race for tomorrow: https://www.goodreads.com/en/book/show/58950517-race-for-tomorrow 
CEO Excellence: https://www.mckinsey.com/featured-insights/mckinsey-on-books/ceo-excellence ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1174</itunes:duration>
                <itunes:episode>81</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.79 Jackie Carter - Thinking creatively about talent pipelines into data careers</title>
        <itunes:title>Ep.79 Jackie Carter - Thinking creatively about talent pipelines into data careers</itunes:title>
        <link>https://womenindata.podbean.com/e/ep79-jackie-carter-thinking-creatively-about-talent-pipelines-into-data-careers/</link>
                    <comments>https://womenindata.podbean.com/e/ep79-jackie-carter-thinking-creatively-about-talent-pipelines-into-data-careers/#comments</comments>        <pubDate>Wed, 29 Mar 2023 18:35:00 +0200</pubDate>
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                                    <description><![CDATA[<p>This week, Karen is joined by Jackie Carter, Professor in Statistical Literacy at the University of Manchester, to talk about how to make data analytics careers accessible to all. In this episode, Jackie highlights the importance of opening the field to more diverse backgrounds as many university degrees now include courses in data analytics. She explains how social science students, for example, add value to data teams, bringing a different perspective focusing on the why of behaviours. She touches on the need to solve the diversity issue before it reaches the workplace, speaks about the barriers to entry and how to solve them. Finally, she shares her best advice for students looking to build some work experience. </p>
<p>Enjoy! </p>
<p> </p>
<p>**************************  </p>
<p>Show notes:  </p>
<p>**************************  </p>
<p>Jackie’s LinkedIn: <a href='https://www.linkedin.com/in/drjackiecarter/'>https://www.linkedin.com/in/drjackiecarter/</a> </p>
<p>Jackie’s book: https://uk.sagepub.com/en-gb/eur/work-placements-internships-applied-social-research/book253221 </p>
<p>Developing a future pipeline of applied social researchers through experiential learning: The case of a data fellows programme: </p>
<p><a href='https://content.iospress.com/articles/statistical-journal-of-the-iaos/sji210844'>https://content.iospress.com/articles/statistical-journal-of-the-iaos/sji210844</a> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Jackie Carter, Professor in Statistical Literacy at the University of Manchester, to talk about how to make data analytics careers accessible to all. In this episode, Jackie highlights the importance of opening the field to more diverse backgrounds as many university degrees now include courses in data analytics. She explains how social science students, for example, add value to data teams, bringing a different perspective focusing on the why of behaviours. She touches on the need to solve the diversity issue before it reaches the workplace, speaks about the barriers to entry and how to solve them. Finally, she shares her best advice for students looking to build some work experience. </p>
<p>Enjoy! </p>
<p> </p>
<p>**************************  </p>
<p>Show notes:  </p>
<p>**************************  </p>
<p>Jackie’s LinkedIn: <a href='https://www.linkedin.com/in/drjackiecarter/'>https://www.linkedin.com/in/drjackiecarter/</a> </p>
<p>Jackie’s book: https://uk.sagepub.com/en-gb/eur/work-placements-internships-applied-social-research/book253221 </p>
<p>Developing a future pipeline of applied social researchers through experiential learning: The case of a data fellows programme: </p>
<p><a href='https://content.iospress.com/articles/statistical-journal-of-the-iaos/sji210844'>https://content.iospress.com/articles/statistical-journal-of-the-iaos/sji210844</a> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/mjefnm/Ep79_Jackie_Carter6l7wm.mp3" length="22522374" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Jackie Carter, Professor in Statistical Literacy at the University of Manchester, to talk about how to make data analytics careers accessible to all. In this episode, Jackie highlights the importance of opening the field to more diverse backgrounds as many university degrees now include courses in data analytics. She explains how social science students, for example, add value to data teams, bringing a different perspective focusing on the why of behaviours. She touches on the need to solve the diversity issue before it reaches the workplace, speaks about the barriers to entry and how to solve them. Finally, she shares her best advice for students looking to build some work experience. 
Enjoy! 
 
**************************  
Show notes:  
**************************  
Jackie’s LinkedIn: https://www.linkedin.com/in/drjackiecarter/ 
Jackie’s book: https://uk.sagepub.com/en-gb/eur/work-placements-internships-applied-social-research/book253221 
Developing a future pipeline of applied social researchers through experiential learning: The case of a data fellows programme: 
https://content.iospress.com/articles/statistical-journal-of-the-iaos/sji210844 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1608</itunes:duration>
                <itunes:episode>80</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.78 Zandra Moore - Enabling female founders in data and tech</title>
        <itunes:title>Ep.78 Zandra Moore - Enabling female founders in data and tech</itunes:title>
        <link>https://womenindata.podbean.com/e/ep78-zandra-moore-enabling-female-founders-in-data-and-tech/</link>
                    <comments>https://womenindata.podbean.com/e/ep78-zandra-moore-enabling-female-founders-in-data-and-tech/#comments</comments>        <pubDate>Wed, 15 Mar 2023 21:49:09 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/632aa9cd-8b92-3fc5-8d6d-3cf99a0749f9</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Zandra Moore, Co-Founder, and CEO of PanIntelligence. With only 1% of capital deals going to female-founded teams, Zandra joined a government task force to increase opportunities for women starting, growing and scaling their businesses. In this episode, she shares her journey to founding her own business, as a woman and a mother, as well as the challenges she faced along the way and what helped her succeed. She also talks about the barriers encountered by female founders in the data and tech space and what can be done to address them. </p>
<p>Enjoy! </p>
<p>************************** </p>
<p>Show notes: </p>
<p>************************** </p>
<p>Zandra’s LinkedIn: <a href='https://www.linkedin.com/in/zandramoore/'>https://www.linkedin.com/in/zandramoore/</a> </p>
<p>She recommends: </p>
<ul><li>Crossing the Chasm: <a href='https://www.amazon.co.uk/Crossing-Chasm-3rd-Disruptive-Mainstream/dp/0062292986'>https://www.amazon.co.uk/Crossing-Chasm-3rd-Disruptive-Mainstream/dp/0062292986</a> </li>
<li>Getlatka: <a href='https://getlatka.com/podcast'>https://getlatka.com/podcast </a></li>
<li>TechCrunch: <a href='https://pod.link/found'>https://pod.link/found</a>  </li>
<li>Datacated: <a href='https://www.datacated.com/'>https://www.datacated.com/ </a></li>
</ul>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Zandra Moore, Co-Founder, and CEO of PanIntelligence. With only 1% of capital deals going to female-founded teams, Zandra joined a government task force to increase opportunities for women starting, growing and scaling their businesses. In this episode, she shares her journey to founding her own business, as a woman and a mother, as well as the challenges she faced along the way and what helped her succeed. She also talks about the barriers encountered by female founders in the data and tech space and what can be done to address them. </p>
<p>Enjoy! </p>
<p>************************** </p>
<p>Show notes: </p>
<p>************************** </p>
<p>Zandra’s LinkedIn: <a href='https://www.linkedin.com/in/zandramoore/'>https://www.linkedin.com/in/zandramoore/</a> </p>
<p>She recommends: </p>
<ul><li>Crossing the Chasm: <a href='https://www.amazon.co.uk/Crossing-Chasm-3rd-Disruptive-Mainstream/dp/0062292986'>https://www.amazon.co.uk/Crossing-Chasm-3rd-Disruptive-Mainstream/dp/0062292986</a> </li>
<li>Getlatka: <a href='https://getlatka.com/podcast'>https://getlatka.com/podcast </a></li>
<li>TechCrunch: <a href='https://pod.link/found'>https://pod.link/found</a>  </li>
<li>Datacated: <a href='https://www.datacated.com/'>https://www.datacated.com/ </a></li>
</ul>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/zww8qg/Ep78_Zandra_Moore_-_Enabling_female_founders_in_data_and_tech_1_b1xgx.mp3" length="28102844" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Zandra Moore, Co-Founder, and CEO of PanIntelligence. With only 1% of capital deals going to female-founded teams, Zandra joined a government task force to increase opportunities for women starting, growing and scaling their businesses. In this episode, she shares her journey to founding her own business, as a woman and a mother, as well as the challenges she faced along the way and what helped her succeed. She also talks about the barriers encountered by female founders in the data and tech space and what can be done to address them. 
Enjoy! 
************************** 
Show notes: 
************************** 
Zandra’s LinkedIn: https://www.linkedin.com/in/zandramoore/ 
She recommends: 
Crossing the Chasm: https://www.amazon.co.uk/Crossing-Chasm-3rd-Disruptive-Mainstream/dp/0062292986 
Getlatka: https://getlatka.com/podcast 
TechCrunch: https://pod.link/found  
Datacated: https://www.datacated.com/ 
]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2007</itunes:duration>
                <itunes:episode>82</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.77 Sneak peek into the Women in Data flagship event</title>
        <itunes:title>Ep.77 Sneak peek into the Women in Data flagship event</itunes:title>
        <link>https://womenindata.podbean.com/e/ep77-sneak-peek-into-the-women-in-data-flagship-event/</link>
                    <comments>https://womenindata.podbean.com/e/ep77-sneak-peek-into-the-women-in-data-flagship-event/#comments</comments>        <pubDate>Wed, 01 Mar 2023 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/ab374180-745d-3cee-9b0d-5680f636ae61</guid>
                                    <description><![CDATA[<p>The Women in Data flagship event is approaching, and I don’t know about you, but I am super excited. Roisin McCarthy, founder of Women in Data joined me on the podcast to give you a sneak peek into the event. Inspiring speakers, workshops, robots, gigantic LEGO minifigure, etc.. Women in Data went all out, and I can’t wait. Will you be there? </p>
<p> </p>
<p>Register to the community and event here: https://womenindata.swoogo.com/registration/Flagship_2023</p>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>The Women in Data flagship event is approaching, and I don’t know about you, but I am super excited. Roisin McCarthy, founder of Women in Data joined me on the podcast to give you a sneak peek into the event. Inspiring speakers, workshops, robots, gigantic LEGO minifigure, etc.. Women in Data went all out, and I can’t wait. Will you be there? </p>
<p> </p>
<p>Register to the community and event here: https://womenindata.swoogo.com/registration/Flagship_2023</p>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/rjadqd/Ep77_Sneak_peek_into_the_Women_in_Data_flagship_event85ra9.mp3" length="16530353" type="audio/mpeg"/>
        <itunes:summary><![CDATA[The Women in Data flagship event is approaching, and I don’t know about you, but I am super excited. Roisin McCarthy, founder of Women in Data joined me on the podcast to give you a sneak peek into the event. Inspiring speakers, workshops, robots, gigantic LEGO minifigure, etc.. Women in Data went all out, and I can’t wait. Will you be there? 
 
Register to the community and event here: https://womenindata.swoogo.com/registration/Flagship_2023
 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1180</itunes:duration>
                <itunes:episode>78</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.76  Wendy Lynch - The value of Analytics Translators</title>
        <itunes:title>Ep.76  Wendy Lynch - The value of Analytics Translators</itunes:title>
        <link>https://womenindata.podbean.com/e/ep76-wendy-lynch-the-value-of-analytics-translators/</link>
                    <comments>https://womenindata.podbean.com/e/ep76-wendy-lynch-the-value-of-analytics-translators/#comments</comments>        <pubDate>Wed, 22 Feb 2023 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/46c1dced-4025-3f35-8c98-87697c613abc</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Wendy Lynch, founder of Analytic-Translator.com. Passionate about analytics and communication, Wendy made a career of mixing the two together, helping data analytics and business teams understand each other. It took her 20 years to realise that her role was that of a translator and in this episode, she shares her best tips to bridge the gap between data and business. She starts by talking about the strain caused by poor communication in our field, then moves on to provide a clear definition of the role of an analytics translator and how they help solve the problem. In this conversation, Wendy also highlights the crucial skills required to be a good translator and through an exercise, demonstrates how we can find answers by simply finding the time to think about the question.  </p>
<p> </p>
<p>Enjoy!   </p>
<p>**************************  </p>
<p>Show notes:  </p>
<p>**************************  </p>
<p><a href='https://www.linkedin.com/in/wendylynchphd'>Wendy’s LinkedIn: https://www.linkedin.com/in/wendylynchphd/  </a></p>
<p><a href='www.analytic-translator.com'>Wendy’s online course: www.analytic-translator.com  </a></p>
<p> Get 30% off Wendy's courses until 15th March 2023 with the code WOMEN30

</p>
<p>Wendy’s books:  </p>
<p><a href='https://www.amazon.co.uk/Become-Analytic-Translator-Business-Analysts/dp/0578316803/ref=sr_1_1?crid=2HI5W9CSYQ4XE&keywords=become+an+analytics+translator&qid=1664381036&qu=eyJxc2MiOiIwLjg5IiwicXNhIjoiMC4wMCIsInFzcCI6IjAuMDAifQ%3D%3D&sprefix=become+an+analytics+translator%2Caps%2C83&sr=8-1'>Become an Analytics Translator: https://www.amazon.co.uk/Become-Analytic-Translator-Business-Analysts/dp/0578316803/ref=sr_1_1?crid=2HI5W9CSYQ4XE&keywords=become+an+analytics+translator&qid=1664381036&qu=eyJxc2MiOiIwLjg5IiwicXNhIjoiMC4wMCIsInFzcCI6IjAuMDAifQ%3D%3D&sprefix=become+an+analytics+translator%2Caps%2C83&sr=8-1  </a></p>
<p><a href='https://www.amazon.co.uk/Get-What-Matters-Transform-Conversations/dp/0692934359/ref=sr_1_3?qid=1664381097&refinements=p_27%3AWendy+D.+Lynch+PhD&s=books&sr=1-3&text=Wendy+D.+Lynch+PhD'>Get to What Matters: https://www.amazon.co.uk/Get-What-Matters-Transform-Conversations/dp/0692934359/ref=sr_1_3?qid=1664381097&refinements=p_27%3AWendy+D.+Lynch+PhD&s=books&sr=1-3&text=Wendy+D.+Lynch+PhD </a></p>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Wendy Lynch, founder of Analytic-Translator.com. Passionate about analytics and communication, Wendy made a career of mixing the two together, helping data analytics and business teams understand each other. It took her 20 years to realise that her role was that of a translator and in this episode, she shares her best tips to bridge the gap between data and business. She starts by talking about the strain caused by poor communication in our field, then moves on to provide a clear definition of the role of an analytics translator and how they help solve the problem. In this conversation, Wendy also highlights the crucial skills required to be a good translator and through an exercise, demonstrates how we can find answers by simply finding the time to think about the question.  </p>
<p> </p>
<p>Enjoy!   </p>
<p>**************************  </p>
<p>Show notes:  </p>
<p>**************************  </p>
<p><a href='https://www.linkedin.com/in/wendylynchphd'>Wendy’s LinkedIn: https://www.linkedin.com/in/wendylynchphd/  </a></p>
<p><a href='www.analytic-translator.com'>Wendy’s online course: www.analytic-translator.com  </a></p>
<p> Get 30% off Wendy's courses until 15th March 2023 with the code WOMEN30<br>
<br>
</p>
<p>Wendy’s books:  </p>
<p><a href='https://www.amazon.co.uk/Become-Analytic-Translator-Business-Analysts/dp/0578316803/ref=sr_1_1?crid=2HI5W9CSYQ4XE&keywords=become+an+analytics+translator&qid=1664381036&qu=eyJxc2MiOiIwLjg5IiwicXNhIjoiMC4wMCIsInFzcCI6IjAuMDAifQ%3D%3D&sprefix=become+an+analytics+translator%2Caps%2C83&sr=8-1'>Become an Analytics Translator: https://www.amazon.co.uk/Become-Analytic-Translator-Business-Analysts/dp/0578316803/ref=sr_1_1?crid=2HI5W9CSYQ4XE&keywords=become+an+analytics+translator&qid=1664381036&qu=eyJxc2MiOiIwLjg5IiwicXNhIjoiMC4wMCIsInFzcCI6IjAuMDAifQ%3D%3D&sprefix=become+an+analytics+translator%2Caps%2C83&sr=8-1  </a></p>
<p><a href='https://www.amazon.co.uk/Get-What-Matters-Transform-Conversations/dp/0692934359/ref=sr_1_3?qid=1664381097&refinements=p_27%3AWendy+D.+Lynch+PhD&s=books&sr=1-3&text=Wendy+D.+Lynch+PhD'>Get to What Matters: https://www.amazon.co.uk/Get-What-Matters-Transform-Conversations/dp/0692934359/ref=sr_1_3?qid=1664381097&refinements=p_27%3AWendy+D.+Lynch+PhD&s=books&sr=1-3&text=Wendy+D.+Lynch+PhD </a></p>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/kw7pax/Ep76_Wendy_Lynch_-_The_value_of_Analytics_Translatorsbarnq.mp3" length="23066969" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Wendy Lynch, founder of Analytic-Translator.com. Passionate about analytics and communication, Wendy made a career of mixing the two together, helping data analytics and business teams understand each other. It took her 20 years to realise that her role was that of a translator and in this episode, she shares her best tips to bridge the gap between data and business. She starts by talking about the strain caused by poor communication in our field, then moves on to provide a clear definition of the role of an analytics translator and how they help solve the problem. In this conversation, Wendy also highlights the crucial skills required to be a good translator and through an exercise, demonstrates how we can find answers by simply finding the time to think about the question.  
 
Enjoy!   
**************************  
Show notes:  
**************************  
Wendy’s LinkedIn: https://www.linkedin.com/in/wendylynchphd/  
Wendy’s online course: www.analytic-translator.com  
 Get 30% off Wendy's courses until 15th March 2023 with the code WOMEN30
Wendy’s books:  
Become an Analytics Translator: https://www.amazon.co.uk/Become-Analytic-Translator-Business-Analysts/dp/0578316803/ref=sr_1_1?crid=2HI5W9CSYQ4XE&keywords=become+an+analytics+translator&qid=1664381036&qu=eyJxc2MiOiIwLjg5IiwicXNhIjoiMC4wMCIsInFzcCI6IjAuMDAifQ%3D%3D&sprefix=become+an+analytics+translator%2Caps%2C83&sr=8-1  
Get to What Matters: https://www.amazon.co.uk/Get-What-Matters-Transform-Conversations/dp/0692934359/ref=sr_1_3?qid=1664381097&refinements=p_27%3AWendy+D.+Lynch+PhD&s=books&sr=1-3&text=Wendy+D.+Lynch+PhD 
 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1647</itunes:duration>
                <itunes:episode>77</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.75 Jannat Maqbool - The role of data in Smart Cities</title>
        <itunes:title>Ep.75 Jannat Maqbool - The role of data in Smart Cities</itunes:title>
        <link>https://womenindata.podbean.com/e/ep75-jannat-maqbool-the-role-of-data-in-smart-cities/</link>
                    <comments>https://womenindata.podbean.com/e/ep75-jannat-maqbool-the-role-of-data-in-smart-cities/#comments</comments>        <pubDate>Wed, 08 Feb 2023 19:34:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/57caffcd-5636-3159-879e-113638edfedf</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Jannat Maqbool, Interim Executive Director at Smart Cities Council Australia New Zealand. In this episode, Jannat starts by sharing the misconceptions about smart cities before moving to the role data plays in this field. Listen to hear about the importance of data context, how it is secured and examples of use cases. </p>
<p>Enjoy! </p>
<p>******************** </p>
<p>Show notes: </p>
<p>******************** </p>
<p>Jannat’s LinkedIn: <a href='https://www.linkedin.com/in/jannat-m-64633/'>https://www.linkedin.com/in/jannat-m-64633/</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Jannat Maqbool, Interim Executive Director at Smart Cities Council Australia New Zealand. In this episode, Jannat starts by sharing the misconceptions about smart cities before moving to the role data plays in this field. Listen to hear about the importance of data context, how it is secured and examples of use cases. </p>
<p>Enjoy! </p>
<p>******************** </p>
<p>Show notes: </p>
<p>******************** </p>
<p>Jannat’s LinkedIn: <a href='https://www.linkedin.com/in/jannat-m-64633/'>https://www.linkedin.com/in/jannat-m-64633/</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/s8xspb/Ep75_Jannat_Maqbool_-_The_role_of_data_in_Smart_Cities7cf9m.mp3" length="27569588" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Jannat Maqbool, Interim Executive Director at Smart Cities Council Australia New Zealand. In this episode, Jannat starts by sharing the misconceptions about smart cities before moving to the role data plays in this field. Listen to hear about the importance of data context, how it is secured and examples of use cases. 
Enjoy! 
******************** 
Show notes: 
******************** 
Jannat’s LinkedIn: https://www.linkedin.com/in/jannat-m-64633/]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1969</itunes:duration>
                <itunes:episode>76</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep74 Cathy Herbert - How to build products that make customers lives better</title>
        <itunes:title>Ep74 Cathy Herbert - How to build products that make customers lives better</itunes:title>
        <link>https://womenindata.podbean.com/e/ep74-cathy-herbert-how-to-build-products-that-make-customers-lives-better/</link>
                    <comments>https://womenindata.podbean.com/e/ep74-cathy-herbert-how-to-build-products-that-make-customers-lives-better/#comments</comments>        <pubDate>Wed, 25 Jan 2023 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/32d78580-523b-32fe-82b1-2cda257afa0a</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Cathy Herbert, EVP of Customer and Partner Enablement at Arria NLG. Integrity is important to Cathy and because of this, she is passionate about building win-win solutions. In this episode, she describes her approach to ensuring the development of useful products that won’t get shelved. She highlights the importance of communication and good design, and talks about how to make a great first impression, as well as sharing what makes the difference between building a product that makes customers' lives better, and one that doesn't. </p>
<p>Enjoy! </p>
<p> </p>
<p>********************** </p>
<p>Show notes: </p>
<p>********************** </p>
<p>Cathy’s LinkedIn: <a href='https://www.linkedin.com/in/cathy-herbert-616846/'>https://www.linkedin.com/in/cathy-herbert-616846/</a> </p>
<p> </p>
<p>She recommends to follow: </p>
<p>Simon Sinek – How great leaders inspire action <a href='https://www.ted.com/talks/simon_sinek_how_great_leaders_inspire_action?language=en'>https://www.ted.com/talks/simon_sinek_how_great_leaders_inspire_action?language=en </a></p>
<p>Geoffrey Moore - <a href='http://geoffreyamoore.com/'>http://geoffreyamoore.com/ </a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Cathy Herbert, EVP of Customer and Partner Enablement at Arria NLG. Integrity is important to Cathy and because of this, she is passionate about building win-win solutions. In this episode, she describes her approach to ensuring the development of useful products that won’t get shelved. She highlights the importance of communication and good design, and talks about how to make a great first impression, as well as sharing what makes the difference between building a product that makes customers' lives better, and one that doesn't. </p>
<p>Enjoy! </p>
<p> </p>
<p>********************** </p>
<p>Show notes: </p>
<p>********************** </p>
<p>Cathy’s LinkedIn: <a href='https://www.linkedin.com/in/cathy-herbert-616846/'>https://www.linkedin.com/in/cathy-herbert-616846/</a> </p>
<p> </p>
<p>She recommends to follow: </p>
<p>Simon Sinek – How great leaders inspire action <a href='https://www.ted.com/talks/simon_sinek_how_great_leaders_inspire_action?language=en'>https://www.ted.com/talks/simon_sinek_how_great_leaders_inspire_action?language=en </a></p>
<p>Geoffrey Moore - <a href='http://geoffreyamoore.com/'>http://geoffreyamoore.com/ </a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/vn8ntg/Ep74_-_Cathy_Herbert_-_How_to_build_products_that_make_customers_lives_better8yvo7.mp3" length="19146689" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Cathy Herbert, EVP of Customer and Partner Enablement at Arria NLG. Integrity is important to Cathy and because of this, she is passionate about building win-win solutions. In this episode, she describes her approach to ensuring the development of useful products that won’t get shelved. She highlights the importance of communication and good design, and talks about how to make a great first impression, as well as sharing what makes the difference between building a product that makes customers' lives better, and one that doesn't. 
Enjoy! 
 
********************** 
Show notes: 
********************** 
Cathy’s LinkedIn: https://www.linkedin.com/in/cathy-herbert-616846/ 
 
She recommends to follow: 
Simon Sinek – How great leaders inspire action https://www.ted.com/talks/simon_sinek_how_great_leaders_inspire_action?language=en 
Geoffrey Moore - http://geoffreyamoore.com/ ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1367</itunes:duration>
                <itunes:episode>75</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.73 Diana Akanho - How to figure out your next step</title>
        <itunes:title>Ep.73 Diana Akanho - How to figure out your next step</itunes:title>
        <link>https://womenindata.podbean.com/e/ep73-diana-akanho-how-to-figure-out-your-next-step/</link>
                    <comments>https://womenindata.podbean.com/e/ep73-diana-akanho-how-to-figure-out-your-next-step/#comments</comments>        <pubDate>Wed, 11 Jan 2023 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/be44ee7e-223e-3f7b-9449-9e8d1a1e8641</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Diana Akanho, Managing Consultant - Data and AI Advisory at Capgemini. Before moving to Capgemini, Diana was feeling stuck in her career. She wanted to change roles, but was unsure of what she wanted to do next. With the help of a mentor, Diana took a pragmatic and structured approach to dealing with the issue. In this episode, she reflects on her journey to ‘getting unstuck’ and finding her next role: from experimenting outside of her day-to-day to having an ‘aha!’ moment when she understood the skills that naturally come to her.  </p>
<p>Enjoy! </p>
<p>*********************** </p>
<p>Show notes </p>
<p>*********************** </p>
<p>Diana’s LinkedIn: <a href='https://www.linkedin.com/in/diana-akanho/'>https://www.linkedin.com/in/diana-akanho/</a> </p>
<p> </p>
<p>She recommends: </p>
<p>HBR: <a href='https://hbr.org/'>https://hbr.org/</a><a href='https://hbr.org/'> </a></p>
<p>Google Scholar: <a href='https://scholar.google.com/'>https://scholar.google.com/ </a></p>
<p>Karen recommends: <a href='https://www.amazingif.com/listen/exploring-and-applying-for-a-new-job/'>https://www.amazingif.com/listen/exploring-and-applying-for-a-new-job/</a><a href='https://www.amazingif.com/listen/exploring-and-applying-for-a-new-job/'> </a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Diana Akanho, Managing Consultant - Data and AI Advisory at Capgemini. Before moving to Capgemini, Diana was feeling stuck in her career. She wanted to change roles, but was unsure of what she wanted to do next. With the help of a mentor, Diana took a pragmatic and structured approach to dealing with the issue. In this episode, she reflects on her journey to ‘getting unstuck’ and finding her next role: from experimenting outside of her day-to-day to having an ‘aha!’ moment when she understood the skills that naturally come to her.  </p>
<p>Enjoy! </p>
<p>*********************** </p>
<p>Show notes </p>
<p>*********************** </p>
<p>Diana’s LinkedIn: <a href='https://www.linkedin.com/in/diana-akanho/'>https://www.linkedin.com/in/diana-akanho/</a> </p>
<p> </p>
<p>She recommends: </p>
<p>HBR: <a href='https://hbr.org/'>https://hbr.org/</a><a href='https://hbr.org/'> </a></p>
<p>Google Scholar: <a href='https://scholar.google.com/'>https://scholar.google.com/ </a></p>
<p>Karen recommends: <a href='https://www.amazingif.com/listen/exploring-and-applying-for-a-new-job/'>https://www.amazingif.com/listen/exploring-and-applying-for-a-new-job/</a><a href='https://www.amazingif.com/listen/exploring-and-applying-for-a-new-job/'> </a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/p9jz4z/Ep73_-_Diana_Akanho_-_How_to_figure_out_your_next_step_1_8xtia.mp3" length="23331828" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Diana Akanho, Managing Consultant - Data and AI Advisory at Capgemini. Before moving to Capgemini, Diana was feeling stuck in her career. She wanted to change roles, but was unsure of what she wanted to do next. With the help of a mentor, Diana took a pragmatic and structured approach to dealing with the issue. In this episode, she reflects on her journey to ‘getting unstuck’ and finding her next role: from experimenting outside of her day-to-day to having an ‘aha!’ moment when she understood the skills that naturally come to her.  
Enjoy! 
*********************** 
Show notes 
*********************** 
Diana’s LinkedIn: https://www.linkedin.com/in/diana-akanho/ 
 
She recommends: 
HBR: https://hbr.org/ 
Google Scholar: https://scholar.google.com/ 
Karen recommends: https://www.amazingif.com/listen/exploring-and-applying-for-a-new-job/ ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1666</itunes:duration>
                <itunes:episode>74</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.72 Lizzie Harris - Inefficiencies when recruiting data professionals</title>
        <itunes:title>Ep.72 Lizzie Harris - Inefficiencies when recruiting data professionals</itunes:title>
        <link>https://womenindata.podbean.com/e/ep72-lizzie-harris-inefficiencies-in-data-recruitment/</link>
                    <comments>https://womenindata.podbean.com/e/ep72-lizzie-harris-inefficiencies-in-data-recruitment/#comments</comments>        <pubDate>Wed, 07 Dec 2022 20:12:05 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/29d7693e-94e5-3cc6-9adb-7b1a9cebf5ee</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Lizzie Harris for the last of this two-part episode covering redundancy and looking for a new job. In this conversation, they talk about the recruitment processes they went through, and how they believe they can be improved. Hiring processes are expensive, and data professionals are sparse. Can we fix inefficiencies and processes that are not inclusive?</p>
<p> </p>
<p>Enjoy!</p>
<p> </p>
<p>*********************</p>
<p>Show notes:</p>
<p>*********************</p>
<p><a href='https://www.linkedin.com/in/elizabeth-harris-a1499a16/'>Lizzie’s LinkedIn: https://www.linkedin.com/in/elizabeth-harris-a1499a16/</a></p>
<p><a href='https://womenindata.co.uk/women-in-data-podcasts/#item7879'>Ep.33 on salary negotiation: https://womenindata.co.uk/women-in-data-podcasts/#item7879</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Lizzie Harris for the last of this two-part episode covering redundancy and looking for a new job. In this conversation, they talk about the recruitment processes they went through, and how they believe they can be improved. Hiring processes are expensive, and data professionals are sparse. Can we fix inefficiencies and processes that are not inclusive?</p>
<p> </p>
<p>Enjoy!</p>
<p> </p>
<p>*********************</p>
<p>Show notes:</p>
<p>*********************</p>
<p><a href='https://www.linkedin.com/in/elizabeth-harris-a1499a16/'>Lizzie’s LinkedIn: https://www.linkedin.com/in/elizabeth-harris-a1499a16/</a></p>
<p><a href='https://womenindata.co.uk/women-in-data-podcasts/#item7879'>Ep.33 on salary negotiation: https://womenindata.co.uk/women-in-data-podcasts/#item7879</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/skibn3/Ep72_-_Lizzie_Harris_-_Inefficiencies_in_data_recruitment9cukw.mp3" length="30360136" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Lizzie Harris for the last of this two-part episode covering redundancy and looking for a new job. In this conversation, they talk about the recruitment processes they went through, and how they believe they can be improved. Hiring processes are expensive, and data professionals are sparse. Can we fix inefficiencies and processes that are not inclusive?
 
Enjoy!
 
*********************
Show notes:
*********************
Lizzie’s LinkedIn: https://www.linkedin.com/in/elizabeth-harris-a1499a16/
Ep.33 on salary negotiation: https://womenindata.co.uk/women-in-data-podcasts/#item7879]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2168</itunes:duration>
                <itunes:episode>73</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.71 Lizzie Harris - Redundancy and job-hunting experiences</title>
        <itunes:title>Ep.71 Lizzie Harris - Redundancy and job-hunting experiences</itunes:title>
        <link>https://womenindata.podbean.com/e/ep71-lizzie-harris-redundancy-and-job-hunting-experiences/</link>
                    <comments>https://womenindata.podbean.com/e/ep71-lizzie-harris-redundancy-and-job-hunting-experiences/#comments</comments>        <pubDate>Wed, 23 Nov 2022 20:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/0a8361e3-44c4-301c-b595-bea1e7f44a77</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Lizzie Harris for the first of a two-part episode covering redundancy and job searching. In this conversation, they share their respective experiences of going through redundancy earlier this year. They talk about what happened, how they felt, how they reacted and what they did to help cope with the stress and anxiety. They then move on to discuss job hunting, including writing their CVs with a view to encourage forward-focused conversations, rather than what they had done in the past.  Thus allowing them to pitch themselves at the right level, in a market where job titles are all over the place.</p>
<p>Enjoy!</p>
<p>*********************</p>
<p>Show notes:</p>
<p>*********************</p>
<p><a href='https://www.linkedin.com/in/elizabeth-harris-a1499a16/'>Lizzie’s LinkedIn: https://www.linkedin.com/in/elizabeth-harris-a1499a16/</a></p>
<p><a href='https://womenindata.co.uk/women-in-data-podcasts/#item7784'>Ep.1 on Furlough fear: https://womenindata.co.uk/women-in-data-podcasts/#item7784</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Lizzie Harris for the first of a two-part episode covering redundancy and job searching. In this conversation, they share their respective experiences of going through redundancy earlier this year. They talk about what happened, how they felt, how they reacted and what they did to help cope with the stress and anxiety. They then move on to discuss job hunting, including writing their CVs with a view to encourage forward-focused conversations, rather than what they had done in the past.  Thus allowing them to pitch themselves at the right level, in a market where job titles are all over the place.</p>
<p>Enjoy!</p>
<p>*********************</p>
<p>Show notes:</p>
<p>*********************</p>
<p><a href='https://www.linkedin.com/in/elizabeth-harris-a1499a16/'>Lizzie’s LinkedIn: https://www.linkedin.com/in/elizabeth-harris-a1499a16/</a></p>
<p><a href='https://womenindata.co.uk/women-in-data-podcasts/#item7784'>Ep.1 on Furlough fear: https://womenindata.co.uk/women-in-data-podcasts/#item7784</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/bnzgtr/Ep71_-_Lizzie_Harris_-_Redundancy_and_job-hunting_experiences99c01.mp3" length="34237358" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Lizzie Harris for the first of a two-part episode covering redundancy and job searching. In this conversation, they share their respective experiences of going through redundancy earlier this year. They talk about what happened, how they felt, how they reacted and what they did to help cope with the stress and anxiety. They then move on to discuss job hunting, including writing their CVs with a view to encourage forward-focused conversations, rather than what they had done in the past.  Thus allowing them to pitch themselves at the right level, in a market where job titles are all over the place.
Enjoy!
*********************
Show notes:
*********************
Lizzie’s LinkedIn: https://www.linkedin.com/in/elizabeth-harris-a1499a16/
Ep.1 on Furlough fear: https://womenindata.co.uk/women-in-data-podcasts/#item7784]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2445</itunes:duration>
                <itunes:episode>72</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.70 Jena Zangs - How to stay attractive to the market</title>
        <itunes:title>Ep.70 Jena Zangs - How to stay attractive to the market</itunes:title>
        <link>https://womenindata.podbean.com/e/ep70-jena-zangs-how-to-stay-attractive-to-the-market/</link>
                    <comments>https://womenindata.podbean.com/e/ep70-jena-zangs-how-to-stay-attractive-to-the-market/#comments</comments>        <pubDate>Wed, 09 Nov 2022 19:35:00 +0100</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/224f1131-6cf8-3600-a847-36133f037e07</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Jena Zangs, Deputy Chief Data Officer & Director of Institutional Data, Analytics & Reporting at the University of St. Thomas (MN). In a field that is constantly evolving and where job hopping is becoming the norm to upskill and get promoted, Jena chose to stay and grow in her organisation. In this episode, she shares the challenges and fears brought by this decision as well as how she has overcome them. You will hear her thoughts on "not having enough time", how she stays up to date with the latest tech development and how she is upskilling herself and teammates to stay attractive to the market. </p>
<p>Enjoy! </p>
<p>*************************** </p>
<p>Show notes: </p>
<p>*************************** </p>
<p>Jena’s LinkedIn: <a href='https://www.linkedin.com/in/jenaz/'>https://www.linkedin.com/in/jenaz/ </a></p>
<p>She recommends: </p>
<p><a href='https://carolinecriadoperez.com/book/invisible-women/'>Invisible Women: https://carolinecriadoperez.com/book/invisible-women/ </a></p>
<p><a href='https://www.robinsharma.com/book/the-5am-club'>The 5am club: https://www.robinsharma.com/book/the-5am-club </a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Jena Zangs, Deputy Chief Data Officer & Director of Institutional Data, Analytics & Reporting at the University of St. Thomas (MN). In a field that is constantly evolving and where job hopping is becoming the norm to upskill and get promoted, Jena chose to stay and grow in her organisation. In this episode, she shares the challenges and fears brought by this decision as well as how she has overcome them. You will hear her thoughts on "not having enough time", how she stays up to date with the latest tech development and how she is upskilling herself and teammates to stay attractive to the market. </p>
<p>Enjoy! </p>
<p>*************************** </p>
<p>Show notes: </p>
<p>*************************** </p>
<p>Jena’s LinkedIn: <a href='https://www.linkedin.com/in/jenaz/'>https://www.linkedin.com/in/jenaz/ </a></p>
<p>She recommends: </p>
<p><a href='https://carolinecriadoperez.com/book/invisible-women/'>Invisible Women: https://carolinecriadoperez.com/book/invisible-women/ </a></p>
<p><a href='https://www.robinsharma.com/book/the-5am-club'>The 5am club: https://www.robinsharma.com/book/the-5am-club </a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/tnuuhb/Ep70_Jena_Zangs_-_How_to_stay_attractive_to_the_market84qpg.mp3" length="24965002" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Jena Zangs, Deputy Chief Data Officer & Director of Institutional Data, Analytics & Reporting at the University of St. Thomas (MN). In a field that is constantly evolving and where job hopping is becoming the norm to upskill and get promoted, Jena chose to stay and grow in her organisation. In this episode, she shares the challenges and fears brought by this decision as well as how she has overcome them. You will hear her thoughts on "not having enough time", how she stays up to date with the latest tech development and how she is upskilling herself and teammates to stay attractive to the market. 
Enjoy! 
*************************** 
Show notes: 
*************************** 
Jena’s LinkedIn: https://www.linkedin.com/in/jenaz/ 
She recommends: 
Invisible Women: https://carolinecriadoperez.com/book/invisible-women/ 
The 5am club: https://www.robinsharma.com/book/the-5am-club ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1782</itunes:duration>
                <itunes:episode>71</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.69 Sadiqah Musa - Improving inclusion in data teams</title>
        <itunes:title>Ep.69 Sadiqah Musa - Improving inclusion in data teams</itunes:title>
        <link>https://womenindata.podbean.com/e/ep69-sadiqah-musa-improving-inclusion-in-data-teams/</link>
                    <comments>https://womenindata.podbean.com/e/ep69-sadiqah-musa-improving-inclusion-in-data-teams/#comments</comments>        <pubDate>Wed, 26 Oct 2022 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/1e58cfd3-6a06-3222-8bd6-06e1be7a4c31</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Sadiqah Musa, Lead Analyst at TrustPilot, and cofounder of Black in Data. While DEI has been making the headlines for a while now, Sadiqah highlights the fact that, with only 3% of data professionals being Black, the work on diversity has barely started. In this episode, she talks about the impact the lack of diversity has on employees’ confidence, as well as their ability to be themselves in the workplace. People of colour will find tips to become more comfortable in a non-diverse environment, and organisations will hear about how they can become more inclusive.</p>
<p>Enjoy!</p>
<p>********************</p>
<p>Show notes:</p>
<p>********************</p>
<p>Sadiqah’s LinkedIn: <a href='https://www.linkedin.com/in/sadiqah-musa-9b169495/'>https://www.linkedin.com/in/sadiqah-musa-9b169495/</a></p>
<p>Black in Data: <a href='https://www.blackindata.co.uk/'>https://www.blackindata.co.uk/</a></p>
<p>Sathya Bala’s LinkedIn: <a href='https://www.linkedin.com/in/sathya-bala-mystory/'>https://www.linkedin.com/in/sathya-bala-mystory/</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Sadiqah Musa, Lead Analyst at TrustPilot, and cofounder of Black in Data. While DEI has been making the headlines for a while now, Sadiqah highlights the fact that, with only 3% of data professionals being Black, the work on diversity has barely started. In this episode, she talks about the impact the lack of diversity has on employees’ confidence, as well as their ability to be themselves in the workplace. People of colour will find tips to become more comfortable in a non-diverse environment, and organisations will hear about how they can become more inclusive.</p>
<p>Enjoy!</p>
<p>********************</p>
<p>Show notes:</p>
<p>********************</p>
<p>Sadiqah’s LinkedIn: <a href='https://www.linkedin.com/in/sadiqah-musa-9b169495/'>https://www.linkedin.com/in/sadiqah-musa-9b169495/</a></p>
<p>Black in Data: <a href='https://www.blackindata.co.uk/'>https://www.blackindata.co.uk/</a></p>
<p>Sathya Bala’s LinkedIn: <a href='https://www.linkedin.com/in/sathya-bala-mystory/'>https://www.linkedin.com/in/sathya-bala-mystory/</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/8sdk8p/Ep69_Sadiqah_Musa_-_Improving_inclusion_in_data_teams9m9f1.mp3" length="23038068" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Sadiqah Musa, Lead Analyst at TrustPilot, and cofounder of Black in Data. While DEI has been making the headlines for a while now, Sadiqah highlights the fact that, with only 3% of data professionals being Black, the work on diversity has barely started. In this episode, she talks about the impact the lack of diversity has on employees’ confidence, as well as their ability to be themselves in the workplace. People of colour will find tips to become more comfortable in a non-diverse environment, and organisations will hear about how they can become more inclusive.
Enjoy!
********************
Show notes:
********************
Sadiqah’s LinkedIn: https://www.linkedin.com/in/sadiqah-musa-9b169495/
Black in Data: https://www.blackindata.co.uk/
Sathya Bala’s LinkedIn: https://www.linkedin.com/in/sathya-bala-mystory/]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1645</itunes:duration>
                <itunes:episode>69</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.68 Itoro Liney - Tackling algorithmic bias</title>
        <itunes:title>Ep.68 Itoro Liney - Tackling algorithmic bias</itunes:title>
        <link>https://womenindata.podbean.com/e/ep68-itoro-liney-tackling-algorithmic-bias/</link>
                    <comments>https://womenindata.podbean.com/e/ep68-itoro-liney-tackling-algorithmic-bias/#comments</comments>        <pubDate>Wed, 12 Oct 2022 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/97ac074b-c862-3a63-872d-811116bace6f</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Itoro Liney, Data Science Manager at Principality Building Society, and AI Ethics Researcher, to discuss one of the most important issues in our field: algorithmic bias. In this episode, Itoro uses a simple, yet powerful example to highlight the impact of biased data, especially when amplified by Machine Learning algorithms. You will also hear practical advice on how data scientists can gain clarity on possible bias in their data, and how to account for it. </p>
<p>Enjoy! </p>
<p>********************* </p>
<p>Show notes: </p>
<p>********************* </p>
<p>Itoro’s LinkedIn: <a href='https://www.linkedin.com/in/chrisliney/'>https://www.linkedin.com/in/chrisliney/ </a></p>
<p> </p>
<p>She recommends reading:  </p>
<p>Radical Candor: <a href='https://www.radicalcandor.com/'>https://www.radicalcandor.com/</a> </p>
<p>The five dysfunctions of a team: <a href='https://www.amazon.co.uk/Five-Dysfunctions-Team-Leadership-Lencioni/dp/0787960756'>https://www.amazon.co.uk/Five-Dysfunctions-Team-Leadership-Lencioni/dp/0787960756 </a></p>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Itoro Liney, Data Science Manager at Principality Building Society, and AI Ethics Researcher, to discuss one of the most important issues in our field: algorithmic bias. In this episode, Itoro uses a simple, yet powerful example to highlight the impact of biased data, especially when amplified by Machine Learning algorithms. You will also hear practical advice on how data scientists can gain clarity on possible bias in their data, and how to account for it. </p>
<p>Enjoy! </p>
<p>********************* </p>
<p>Show notes: </p>
<p>********************* </p>
<p>Itoro’s LinkedIn: <a href='https://www.linkedin.com/in/chrisliney/'>https://www.linkedin.com/in/chrisliney/ </a></p>
<p> </p>
<p>She recommends reading:  </p>
<p>Radical Candor: <a href='https://www.radicalcandor.com/'>https://www.radicalcandor.com/</a> </p>
<p>The five dysfunctions of a team: <a href='https://www.amazon.co.uk/Five-Dysfunctions-Team-Leadership-Lencioni/dp/0787960756'>https://www.amazon.co.uk/Five-Dysfunctions-Team-Leadership-Lencioni/dp/0787960756 </a></p>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/j9c4gu/Ep68_Itoro_Liney_-_Tackling_algorithmic_bias7ixmr.mp3" length="23919310" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Itoro Liney, Data Science Manager at Principality Building Society, and AI Ethics Researcher, to discuss one of the most important issues in our field: algorithmic bias. In this episode, Itoro uses a simple, yet powerful example to highlight the impact of biased data, especially when amplified by Machine Learning algorithms. You will also hear practical advice on how data scientists can gain clarity on possible bias in their data, and how to account for it. 
Enjoy! 
********************* 
Show notes: 
********************* 
Itoro’s LinkedIn: https://www.linkedin.com/in/chrisliney/ 
 
She recommends reading:  
Radical Candor: https://www.radicalcandor.com/ 
The five dysfunctions of a team: https://www.amazon.co.uk/Five-Dysfunctions-Team-Leadership-Lencioni/dp/0787960756 
 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1708</itunes:duration>
                <itunes:episode>70</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.67 Candace Ohm - Succeeding against the odds</title>
        <itunes:title>Ep.67 Candace Ohm - Succeeding against the odds</itunes:title>
        <link>https://womenindata.podbean.com/e/ep67-candace-ohm-succeeding-against-the-odds/</link>
                    <comments>https://womenindata.podbean.com/e/ep67-candace-ohm-succeeding-against-the-odds/#comments</comments>        <pubDate>Wed, 28 Sep 2022 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/10e1385c-9b18-381c-93fc-fcf9d1df9324</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Candace Ohm, Director of Product Analytics at Cardlytics. Being a first-generation college student, Candace faced a number of challenges in her journey to become a leader in data science. In this episode, she shares a story of self-discovery and of overcoming limiting beliefs that were stopping her from feeling like she belonged in a career in data. But most of all, she shares a story of courage. </p>
<p>Enjoy! </p>
<p>****************** </p>
<p>Show notes: </p>
<p>****************** </p>
<p>Candace’s LinkedIn: <a href='https://www.linkedin.com/in/candaceohm/'>https://www.linkedin.com/in/candaceohm/ </a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Candace Ohm, Director of Product Analytics at Cardlytics. Being a first-generation college student, Candace faced a number of challenges in her journey to become a leader in data science. In this episode, she shares a story of self-discovery and of overcoming limiting beliefs that were stopping her from feeling like she belonged in a career in data. But most of all, she shares a story of courage. </p>
<p>Enjoy! </p>
<p>****************** </p>
<p>Show notes: </p>
<p>****************** </p>
<p>Candace’s LinkedIn: <a href='https://www.linkedin.com/in/candaceohm/'>https://www.linkedin.com/in/candaceohm/ </a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/cfb77d/Ep67_Candace_Ohm_-_Succeeding_against_the_oddsaoeh5.mp3" length="22307002" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Candace Ohm, Director of Product Analytics at Cardlytics. Being a first-generation college student, Candace faced a number of challenges in her journey to become a leader in data science. In this episode, she shares a story of self-discovery and of overcoming limiting beliefs that were stopping her from feeling like she belonged in a career in data. But most of all, she shares a story of courage. 
Enjoy! 
****************** 
Show notes: 
****************** 
Candace’s LinkedIn: https://www.linkedin.com/in/candaceohm/ ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1593</itunes:duration>
                <itunes:episode>68</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.66 Shikta Das and Dr Tazeen Rizvi - Towards more inclusive HealthTech solutions</title>
        <itunes:title>Ep.66 Shikta Das and Dr Tazeen Rizvi - Towards more inclusive HealthTech solutions</itunes:title>
        <link>https://womenindata.podbean.com/e/ep66-shikta-das-and-dr-tazeen-rizvi-towards-more-inclusive-healthtech-solutions/</link>
                    <comments>https://womenindata.podbean.com/e/ep66-shikta-das-and-dr-tazeen-rizvi-towards-more-inclusive-healthtech-solutions/#comments</comments>        <pubDate>Wed, 14 Sep 2022 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/16ca7be0-a5f5-3c8f-8d5d-dd063fd3db0f</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Shikta Das, Associate Principal Scientist at AstraZeneca, and Dr.Tazeen Rizvi, Clinician, and Entrepreneur, to talk about the state of data and technology in healthcare. These two experts in their field bring a different perspective on the topic, Shikta, coming from the viewpoint of a data scientist, and Tazeen, that of a digital health expert. In this episode, you will hear about the role of data-driven technologies in creating accessible, more inclusive, and efficient care delivery models.  They also highlight the critical opportunities that need to be addressed to unlock the value of data and digital tools to ensure that diagnostics, digital solutions, and treatments are adequate for every segment of the population. They talk about bridging the data gap, the impact of biased data on research and diagnosis, how decentralised clinical trials can help address these issues, and much more. 
 </p>
<p>Enjoy! </p>
<p>************************ </p>
<p>Show notes: </p>
<p>************************ </p>
<ul><li>Shikta’s LinkedIn: <a href='https://www.linkedin.com/in/shiktadas/'>https://www.linkedin.com/in/shiktadas/</a><a href='https://www.linkedin.com/in/shiktadas/'> </a></li>
<li>Tazeen’s LinkedIn: <a href='https://www.linkedin.com/in/drtazeenrizvi/'>https://www.linkedin.com/in/drtazeenrizvi/</a> </li>
</ul>
<p>They recommend: </p>
<ul><li>The Genetics Society:  <a href='https://geneticsunzipped.com/'>https://geneticsunzipped.com/</a><a href='https://geneticsunzipped.com/'> </a></li>
<li>Patient Rising: <a href='https://www.patientsrisingpodcast.org/'>https://www.patientsrisingpodcast.org/</a> </li>
<li>Mind The Gap: <a href='https://anchor.fm/mindthegap-edu'>https://anchor.fm/mindthegap-edu</a> </li>
<li>UC Science today: <a href='https://www.podbean.com/podcast-detail/m773n-50f1c/UC-Science-Today-Podcast'>https://www.podbean.com/podcast-detail/m773n-50f1c/UC-Science-Today-Podcast</a> </li>
<li>Tazeen’s podcast: <a href='https://www.linkedin.com/company/the-pulse-podcast/videos/?viewAsMember=true'>https://www.linkedin.com/company/the-pulse-podcast/videos/?viewAsMember=true</a> </li>
</ul>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Shikta Das, Associate Principal Scientist at AstraZeneca, and Dr.Tazeen Rizvi, Clinician, and Entrepreneur, to talk about the state of data and technology in healthcare. These two experts in their field bring a different perspective on the topic, Shikta, coming from the viewpoint of a data scientist, and Tazeen, that of a digital health expert. In this episode, you will hear about the role of data-driven technologies in creating accessible, more inclusive, and efficient care delivery models.  They also highlight the critical opportunities that need to be addressed to unlock the value of data and digital tools to ensure that diagnostics, digital solutions, and treatments are adequate for every segment of the population. They talk about bridging the data gap, the impact of biased data on research and diagnosis, how decentralised clinical trials can help address these issues, and much more. <br>
 </p>
<p>Enjoy! </p>
<p>************************ </p>
<p>Show notes: </p>
<p>************************ </p>
<ul><li>Shikta’s LinkedIn: <a href='https://www.linkedin.com/in/shiktadas/'>https://www.linkedin.com/in/shiktadas/</a><a href='https://www.linkedin.com/in/shiktadas/'> </a></li>
<li>Tazeen’s LinkedIn: <a href='https://www.linkedin.com/in/drtazeenrizvi/'>https://www.linkedin.com/in/drtazeenrizvi/</a> </li>
</ul>
<p>They recommend: </p>
<ul><li>The Genetics Society:  <a href='https://geneticsunzipped.com/'>https://geneticsunzipped.com/</a><a href='https://geneticsunzipped.com/'> </a></li>
<li>Patient Rising: <a href='https://www.patientsrisingpodcast.org/'>https://www.patientsrisingpodcast.org/</a> </li>
<li>Mind The Gap: <a href='https://anchor.fm/mindthegap-edu'>https://anchor.fm/mindthegap-edu</a> </li>
<li>UC Science today: <a href='https://www.podbean.com/podcast-detail/m773n-50f1c/UC-Science-Today-Podcast'>https://www.podbean.com/podcast-detail/m773n-50f1c/UC-Science-Today-Podcast</a> </li>
<li>Tazeen’s podcast: <a href='https://www.linkedin.com/company/the-pulse-podcast/videos/?viewAsMember=true'>https://www.linkedin.com/company/the-pulse-podcast/videos/?viewAsMember=true</a> </li>
</ul>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/fsbb8u/Ep66_Shikta_Das_and_Dr_Tazeen_Rizvi_-_Towards_more_inclusive_HealthTech_solutionsbq5ou.mp3" length="27101841" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Shikta Das, Associate Principal Scientist at AstraZeneca, and Dr.Tazeen Rizvi, Clinician, and Entrepreneur, to talk about the state of data and technology in healthcare. These two experts in their field bring a different perspective on the topic, Shikta, coming from the viewpoint of a data scientist, and Tazeen, that of a digital health expert. In this episode, you will hear about the role of data-driven technologies in creating accessible, more inclusive, and efficient care delivery models.  They also highlight the critical opportunities that need to be addressed to unlock the value of data and digital tools to ensure that diagnostics, digital solutions, and treatments are adequate for every segment of the population. They talk about bridging the data gap, the impact of biased data on research and diagnosis, how decentralised clinical trials can help address these issues, and much more.  
Enjoy! 
************************ 
Show notes: 
************************ 
Shikta’s LinkedIn: https://www.linkedin.com/in/shiktadas/ 
Tazeen’s LinkedIn: https://www.linkedin.com/in/drtazeenrizvi/ 
They recommend: 
The Genetics Society:  https://geneticsunzipped.com/ 
Patient Rising: https://www.patientsrisingpodcast.org/ 
Mind The Gap: https://anchor.fm/mindthegap-edu 
UC Science today: https://www.podbean.com/podcast-detail/m773n-50f1c/UC-Science-Today-Podcast 
Tazeen’s podcast: https://www.linkedin.com/company/the-pulse-podcast/videos/?viewAsMember=true 
]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1935</itunes:duration>
                <itunes:episode>67</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.65 Adriana Beal - Taking ownership of your career in data</title>
        <itunes:title>Ep.65 Adriana Beal - Taking ownership of your career in data</itunes:title>
        <link>https://womenindata.podbean.com/e/ep65-adriana-beal-taking-ownership-of-your-career-in-data/</link>
                    <comments>https://womenindata.podbean.com/e/ep65-adriana-beal-taking-ownership-of-your-career-in-data/#comments</comments>        <pubDate>Wed, 31 Aug 2022 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/62a9ed9a-e89b-3de1-93ac-4ccedbd3596a</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Adriana Beal, Lead Data Scientist at Slalom. If you’re looking to take ownership of your career, or mentor someone who is, this episode is for you. In this conversation, Adriana shares her best advice to data analysts and data scientists who want to take the driving seat. You will also hear about why she prefers working as a consultant rather than as a full-time employee, and how to translate a business problem into a data science project. </p>
<p>Enjoy! </p>
<p>************************** </p>
<p>Show notes: </p>
<p>************************** </p>
<p>Adriana’s LinkedIn: <a href='https://www.linkedin.com/in/adrianabeal/'>https://www.linkedin.com/in/adrianabeal/ </a></p>
<p>She recommends: </p>
<ul><li>Deep Questions Podcast: <a href='https://www.calnewport.com/podcast/'>https://www.calnewport.com/podcast/ </a></li>
<li>Behavioral Grooves Podcast : <a href='https://behavioralgrooves.com/'>https://behavioralgrooves.com/ </a></li>
<li>Find your T shape: <a href='https://bealprojects.com/resources/finding-your-t-shaped-strength/'>https://bealprojects.com/resources/finding-your-t-shaped-strength/ </a></li>
</ul>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Adriana Beal, Lead Data Scientist at Slalom. If you’re looking to take ownership of your career, or mentor someone who is, this episode is for you. In this conversation, Adriana shares her best advice to data analysts and data scientists who want to take the driving seat. You will also hear about why she prefers working as a consultant rather than as a full-time employee, and how to translate a business problem into a data science project. </p>
<p>Enjoy! </p>
<p>************************** </p>
<p>Show notes: </p>
<p>************************** </p>
<p>Adriana’s LinkedIn: <a href='https://www.linkedin.com/in/adrianabeal/'>https://www.linkedin.com/in/adrianabeal/ </a></p>
<p>She recommends: </p>
<ul><li>Deep Questions Podcast: <a href='https://www.calnewport.com/podcast/'>https://www.calnewport.com/podcast/ </a></li>
<li>Behavioral Grooves Podcast : <a href='https://behavioralgrooves.com/'>https://behavioralgrooves.com/ </a></li>
<li>Find your T shape: <a href='https://bealprojects.com/resources/finding-your-t-shaped-strength/'>https://bealprojects.com/resources/finding-your-t-shaped-strength/ </a></li>
</ul>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/n5xkpg/Taking_ownership_of_your_career_in_data9yhc9.mp3" length="24115846" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Adriana Beal, Lead Data Scientist at Slalom. If you’re looking to take ownership of your career, or mentor someone who is, this episode is for you. In this conversation, Adriana shares her best advice to data analysts and data scientists who want to take the driving seat. You will also hear about why she prefers working as a consultant rather than as a full-time employee, and how to translate a business problem into a data science project. 
Enjoy! 
************************** 
Show notes: 
************************** 
Adriana’s LinkedIn: https://www.linkedin.com/in/adrianabeal/ 
She recommends: 
Deep Questions Podcast: https://www.calnewport.com/podcast/ 
Behavioral Grooves Podcast : https://behavioralgrooves.com/ 
Find your T shape: https://bealprojects.com/resources/finding-your-t-shaped-strength/ 
 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1722</itunes:duration>
                <itunes:episode>66</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.64 - Neha Wadhawan - Establishing yourself in a new role</title>
        <itunes:title>Ep.64 - Neha Wadhawan - Establishing yourself in a new role</itunes:title>
        <link>https://womenindata.podbean.com/e/ep64-neha-wadhawan-establishing-yourself-in-a-new-role/</link>
                    <comments>https://womenindata.podbean.com/e/ep64-neha-wadhawan-establishing-yourself-in-a-new-role/#comments</comments>        <pubDate>Wed, 20 Jul 2022 18:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/bcca6860-32fa-3eca-866f-61bf890ce52e</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Neha Wadhawan, Director of Credit Risk at American Express. Neha moved from risk analytics to customer analytics and back to risk when joining her dream company. In this episode, they talk about how Neha was able to successfully establish herself as a leader in an area she didn’t specialise in, but also in a company where other leaders joined as graduates and have a long tenure. Along with a structured approach to building strong relationships with stakeholders, you will hear about Neha’s objectives for her first 3 months at Amex, her approach to learning, and how she keeps her team engaged and motivated.  

</p>
<p>Enjoy!</p>
<p>************************</p>
<p>Show notes</p>
<p>************************</p>
<p><a href='https://www.linkedin.com/in/neha-wadhawan-7099848/'>Neha’s LinkedIn: https://www.linkedin.com/in/neha-wadhawan-7099848/</a></p>
<p>She recommends:</p>
<ul><li>HBR articles</li>
<li>LinkedIn learning</li>
</ul>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Neha Wadhawan, Director of Credit Risk at American Express. Neha moved from risk analytics to customer analytics and back to risk when joining her dream company. In this episode, they talk about how Neha was able to successfully establish herself as a leader in an area she didn’t specialise in, but also in a company where other leaders joined as graduates and have a long tenure. Along with a structured approach to building strong relationships with stakeholders, you will hear about Neha’s objectives for her first 3 months at Amex, her approach to learning, and how she keeps her team engaged and motivated.  <br>
<br>
</p>
<p>Enjoy!</p>
<p>************************</p>
<p>Show notes</p>
<p>************************</p>
<p><a href='https://www.linkedin.com/in/neha-wadhawan-7099848/'>Neha’s LinkedIn: https://www.linkedin.com/in/neha-wadhawan-7099848/</a></p>
<p>She recommends:</p>
<ul><li>HBR articles</li>
<li>LinkedIn learning</li>
</ul>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/8ruvs7/Ep64_-_Neha_Wadhawan_-_Establishing_yourself_in_a_new_roleb3f0a.mp3" length="22866431" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Neha Wadhawan, Director of Credit Risk at American Express. Neha moved from risk analytics to customer analytics and back to risk when joining her dream company. In this episode, they talk about how Neha was able to successfully establish herself as a leader in an area she didn’t specialise in, but also in a company where other leaders joined as graduates and have a long tenure. Along with a structured approach to building strong relationships with stakeholders, you will hear about Neha’s objectives for her first 3 months at Amex, her approach to learning, and how she keeps her team engaged and motivated.  
Enjoy!
************************
Show notes
************************
Neha’s LinkedIn: https://www.linkedin.com/in/neha-wadhawan-7099848/
She recommends:
HBR articles
LinkedIn learning
]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1633</itunes:duration>
                <itunes:episode>64</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.63 - Nicki Tinson - Reduced hours and leadership</title>
        <itunes:title>Ep.63 - Nicki Tinson - Reduced hours and leadership</itunes:title>
        <link>https://womenindata.podbean.com/e/ep63-nicki-tinson-reduced-hours-and-leadership/</link>
                    <comments>https://womenindata.podbean.com/e/ep63-nicki-tinson-reduced-hours-and-leadership/#comments</comments>        <pubDate>Wed, 06 Jul 2022 18:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/fdefc8f9-55c7-3dbf-855e-f9f5c82ca557</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Nicki Tinson, founder of Empowered Analyst, and Professional Development Expert in Data Analytics. In this episode, they talk about the stigmas surrounding part-time working, especially for individuals in a leadership position, and why Nicki prefers the term reduced hours. You will also hear, step by step, how Nicki was able to work reduced hours without making a salary sacrifice. </p>
<p>Enjoy! </p>
<p>*************************** </p>
<p>Show notes  </p>
<p>*************************** </p>
<p><a href='https://www.linkedin.com/in/empoweredanalysts/'>Nicki's LinkedIn: https://www.linkedin.com/in/empoweredanalysts/</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Nicki Tinson, founder of Empowered Analyst, and Professional Development Expert in Data Analytics. In this episode, they talk about the stigmas surrounding part-time working, especially for individuals in a leadership position, and why Nicki prefers the term reduced hours. You will also hear, step by step, how Nicki was able to work reduced hours without making a salary sacrifice. </p>
<p>Enjoy! </p>
<p>*************************** </p>
<p>Show notes  </p>
<p>*************************** </p>
<p><a href='https://www.linkedin.com/in/empoweredanalysts/'>Nicki's LinkedIn: https://www.linkedin.com/in/empoweredanalysts/</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/4xwi5r/Ep63_-_Nicki_Tinson_-_Reduced_hours_and_leadershipbpnr1.mp3" length="29481982" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Nicki Tinson, founder of Empowered Analyst, and Professional Development Expert in Data Analytics. In this episode, they talk about the stigmas surrounding part-time working, especially for individuals in a leadership position, and why Nicki prefers the term reduced hours. You will also hear, step by step, how Nicki was able to work reduced hours without making a salary sacrifice. 
Enjoy! 
*************************** 
Show notes  
*************************** 
Nicki's LinkedIn: https://www.linkedin.com/in/empoweredanalysts/]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2105</itunes:duration>
                <itunes:episode>65</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.62 Sophie Duffy - Future-proofing your career</title>
        <itunes:title>Ep.62 Sophie Duffy - Future-proofing your career</itunes:title>
        <link>https://womenindata.podbean.com/e/ep62-sophie-duffy-future-proofing-your-career/</link>
                    <comments>https://womenindata.podbean.com/e/ep62-sophie-duffy-future-proofing-your-career/#comments</comments>        <pubDate>Wed, 22 Jun 2022 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/1a946d54-ceb9-3400-b0a8-76043f1897f6</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Sophie Duffy, Group Head of Data and Analytics at Kingfisher. After many years in commercial data roles and in strategy, Sophie decided to pivot into a more technical role, leading a digital and customer analytics team. In this episode, she describes the thought process that led her to data analytics as well as the challenges she encountered along the way. You will hear about how her previous experience helps her lead an analytics team, the business problems addressed by her team, and how she is able to learn on the job and grow as a data analytics leader. </p>
<p>Enjoy! </p>
<p>*************************** </p>
<p>Show notes  </p>
<p>*************************** </p>
<p>Sophie’s LinkedIn: <a href='https://www.linkedin.com/in/sophie-duffy/'>https://www.linkedin.com/in/sophie-duffy/</a> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Sophie Duffy, Group Head of Data and Analytics at Kingfisher. After many years in commercial data roles and in strategy, Sophie decided to pivot into a more technical role, leading a digital and customer analytics team. In this episode, she describes the thought process that led her to data analytics as well as the challenges she encountered along the way. You will hear about how her previous experience helps her lead an analytics team, the business problems addressed by her team, and how she is able to learn on the job and grow as a data analytics leader. </p>
<p>Enjoy! </p>
<p>*************************** </p>
<p>Show notes  </p>
<p>*************************** </p>
<p>Sophie’s LinkedIn: <a href='https://www.linkedin.com/in/sophie-duffy/'>https://www.linkedin.com/in/sophie-duffy/</a> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/jexxj8/Ep_62_Sophie_Duffy_-_Future_proofing_your_careerbs4gt.mp3" length="20666064" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Sophie Duffy, Group Head of Data and Analytics at Kingfisher. After many years in commercial data roles and in strategy, Sophie decided to pivot into a more technical role, leading a digital and customer analytics team. In this episode, she describes the thought process that led her to data analytics as well as the challenges she encountered along the way. You will hear about how her previous experience helps her lead an analytics team, the business problems addressed by her team, and how she is able to learn on the job and grow as a data analytics leader. 
Enjoy! 
*************************** 
Show notes  
*************************** 
Sophie’s LinkedIn: https://www.linkedin.com/in/sophie-duffy/ ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1476</itunes:duration>
                <itunes:episode>63</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.61 - Avoiding the Glue Work black hole &amp; gaining the recognition you deserve</title>
        <itunes:title>Ep.61 - Avoiding the Glue Work black hole &amp; gaining the recognition you deserve</itunes:title>
        <link>https://womenindata.podbean.com/e/ep61-avoiding-the-glue-work-black-hole-gaining-the-recognition-you-deserve/</link>
                    <comments>https://womenindata.podbean.com/e/ep61-avoiding-the-glue-work-black-hole-gaining-the-recognition-you-deserve/#comments</comments>        <pubDate>Wed, 08 Jun 2022 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/3ae85b4b-eaae-3358-bbc1-9c8db97c711b</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Debbie Kerr, Data Scientist, and Yamini Krishnamoorthy, Data Analytics Manager at M&G. In this episode, they share their respective experience with getting recognition for their work. You will hear about their strategies to ensure your contribution is noticed, as well as how to avoid your career being involuntarily diverted by Glue Work. Wondering what Glue Work is? You might not have heard of the term before, but it’s very likely that some would have crept on your to-do list at some point or another.</p>
<p>Enjoy!</p>
<p> </p>
<p>***************************</p>
<p>Show notes:</p>
<p>***************************</p>
<p>Debbie's LinkedIn:<a href='https://www.linkedin.com/in/debbie-kerr-069ba2141/'>https://www.linkedin.com/in/debbie-kerr-069ba2141/</a></p>
<p>Yamini's LinkedIn: <a href='https://www.linkedin.com/in/yamini-krishnamoorthy-1aba26127/'>https://www.linkedin.com/in/yamini-krishnamoorthy-1aba26127/</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Debbie Kerr, Data Scientist, and Yamini Krishnamoorthy, Data Analytics Manager at M&G. In this episode, they share their respective experience with getting recognition for their work. You will hear about their strategies to ensure your contribution is noticed, as well as how to avoid your career being involuntarily diverted by Glue Work. Wondering what Glue Work is? You might not have heard of the term before, but it’s very likely that some would have crept on your to-do list at some point or another.</p>
<p>Enjoy!</p>
<p> </p>
<p>***************************</p>
<p>Show notes:</p>
<p>***************************</p>
<p>Debbie's LinkedIn:<a href='https://www.linkedin.com/in/debbie-kerr-069ba2141/'>https://www.linkedin.com/in/debbie-kerr-069ba2141/</a></p>
<p>Yamini's LinkedIn: <a href='https://www.linkedin.com/in/yamini-krishnamoorthy-1aba26127/'>https://www.linkedin.com/in/yamini-krishnamoorthy-1aba26127/</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/cz6tf2/Ep61_-_Avoiding_the_Glue_Work_black_hole_gaining_the_recognition_you_deserve6ausk.mp3" length="24653205" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Debbie Kerr, Data Scientist, and Yamini Krishnamoorthy, Data Analytics Manager at M&G. In this episode, they share their respective experience with getting recognition for their work. You will hear about their strategies to ensure your contribution is noticed, as well as how to avoid your career being involuntarily diverted by Glue Work. Wondering what Glue Work is? You might not have heard of the term before, but it’s very likely that some would have crept on your to-do list at some point or another.
Enjoy!
 
***************************
Show notes:
***************************
Debbie's LinkedIn:https://www.linkedin.com/in/debbie-kerr-069ba2141/
Yamini's LinkedIn: https://www.linkedin.com/in/yamini-krishnamoorthy-1aba26127/]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1760</itunes:duration>
                <itunes:episode>62</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.60 Bianka Pal and Cecilia Oliveira - Starting in Data Science</title>
        <itunes:title>Ep.60 Bianka Pal and Cecilia Oliveira - Starting in Data Science</itunes:title>
        <link>https://womenindata.podbean.com/e/ep60-bianka-pal-and-cecilia-oliveira-starting-in-data-science/</link>
                    <comments>https://womenindata.podbean.com/e/ep60-bianka-pal-and-cecilia-oliveira-starting-in-data-science/#comments</comments>        <pubDate>Wed, 25 May 2022 19:35:00 +0200</pubDate>
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                                    <description><![CDATA[<p>This week, Karen is joined by Bianka Pal, Data Scientist at Vodafone, and Cecilia Oliveira, Data Analyst at UniQuest. In this episode, they share their experience of starting in the field. While Bianka’s first experience was through a Graduate scheme, Cecilia had already spent over 10 years in a sales and hospitality career when she turned to data analytics. You will hear about their motivations to work in data, the steps they took to land their first job in the sector (including formal and informal training), the challenges they encountered, and their top tips for a successful transition. If you are looking to start a career in data science or data analytics, this episode is for you. It will also help hiring managers put themselves in the shoes of candidates that are new to data. </p>
<p>Enjoy! </p>
<p>*************************** </p>
<p>Show notes  </p>
<p>*************************** </p>
<p>Bianka’s LinkedIn: <a href='https://www.linkedin.com/in/bianka-pal-5560b1153/'>https://www.linkedin.com/in/bianka-pal-5560b1153/</a> </p>
<p>Cecilia’s LinkedIn: <a href='https://www.linkedin.com/in/ceciliagoliveira/'>https://www.linkedin.com/in/ceciliagoliveira/ </a></p>
<p>They recommend: </p>
<ul><li>Towards Data Science: <a href='https://towardsdatascience.com/'>https://towardsdatascience.com/</a> </li>
<li>DataTalk Podcast: <a href='https://www.experian.com/blogs/news/about/datadriven/'>https://www.experian.com/blogs/news/about/datadriven/</a> </li>
<li>KDNuggets: <a href='https://www.kdnuggets.com/news/index.html'>https://www.kdnuggets.com/news/index.html</a><a href='https://www.kdnuggets.com/news/index.html'> </a></li>
<li>Real Python: <a href='https://realpython.com/'>https://realpython.com/</a><a href='https://realpython.com/'> </a></li>
<li>Cassie Kozyrkov: <a href='https://twitter.com/quaesita?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor'>https://twitter.com/quaesita?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor</a> </li>
</ul>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Bianka Pal, Data Scientist at Vodafone, and Cecilia Oliveira, Data Analyst at UniQuest. In this episode, they share their experience of starting in the field. While Bianka’s first experience was through a Graduate scheme, Cecilia had already spent over 10 years in a sales and hospitality career when she turned to data analytics. You will hear about their motivations to work in data, the steps they took to land their first job in the sector (including formal and informal training), the challenges they encountered, and their top tips for a successful transition. If you are looking to start a career in data science or data analytics, this episode is for you. It will also help hiring managers put themselves in the shoes of candidates that are new to data. </p>
<p>Enjoy! </p>
<p>*************************** </p>
<p>Show notes  </p>
<p>*************************** </p>
<p>Bianka’s LinkedIn: <a href='https://www.linkedin.com/in/bianka-pal-5560b1153/'>https://www.linkedin.com/in/bianka-pal-5560b1153/</a> </p>
<p>Cecilia’s LinkedIn: <a href='https://www.linkedin.com/in/ceciliagoliveira/'>https://www.linkedin.com/in/ceciliagoliveira/ </a></p>
<p>They recommend: </p>
<ul><li>Towards Data Science: <a href='https://towardsdatascience.com/'>https://towardsdatascience.com/</a> </li>
<li>DataTalk Podcast: <a href='https://www.experian.com/blogs/news/about/datadriven/'>https://www.experian.com/blogs/news/about/datadriven/</a> </li>
<li>KDNuggets: <a href='https://www.kdnuggets.com/news/index.html'>https://www.kdnuggets.com/news/index.html</a><a href='https://www.kdnuggets.com/news/index.html'> </a></li>
<li>Real Python: <a href='https://realpython.com/'>https://realpython.com/</a><a href='https://realpython.com/'> </a></li>
<li>Cassie Kozyrkov: <a href='https://twitter.com/quaesita?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor'>https://twitter.com/quaesita?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor</a> </li>
</ul>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/r5gkpe/Ep60_Bianka_and_Cecilia_-_Starting_in_Data_Science8vgba.mp3" length="29561397" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Bianka Pal, Data Scientist at Vodafone, and Cecilia Oliveira, Data Analyst at UniQuest. In this episode, they share their experience of starting in the field. While Bianka’s first experience was through a Graduate scheme, Cecilia had already spent over 10 years in a sales and hospitality career when she turned to data analytics. You will hear about their motivations to work in data, the steps they took to land their first job in the sector (including formal and informal training), the challenges they encountered, and their top tips for a successful transition. If you are looking to start a career in data science or data analytics, this episode is for you. It will also help hiring managers put themselves in the shoes of candidates that are new to data. 
Enjoy! 
*************************** 
Show notes  
*************************** 
Bianka’s LinkedIn: https://www.linkedin.com/in/bianka-pal-5560b1153/ 
Cecilia’s LinkedIn: https://www.linkedin.com/in/ceciliagoliveira/ 
They recommend: 
Towards Data Science: https://towardsdatascience.com/ 
DataTalk Podcast: https://www.experian.com/blogs/news/about/datadriven/ 
KDNuggets: https://www.kdnuggets.com/news/index.html 
Real Python: https://realpython.com/ 
Cassie Kozyrkov: https://twitter.com/quaesita?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor 
]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2111</itunes:duration>
                <itunes:episode>61</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep.59 Elizabeth Wanless - Professional Athlete to Data Science: Lessons from the Field</title>
        <itunes:title>Ep.59 Elizabeth Wanless - Professional Athlete to Data Science: Lessons from the Field</itunes:title>
        <link>https://womenindata.podbean.com/e/ep59-elizabeth-wanless-professional-athlete-to-data-science-lessons-from-the-field/</link>
                    <comments>https://womenindata.podbean.com/e/ep59-elizabeth-wanless-professional-athlete-to-data-science-lessons-from-the-field/#comments</comments>        <pubDate>Wed, 11 May 2022 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/3851a907-28f4-386d-a013-48fd8989de6e</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Dr. Liz Wanless, Assistant Director of Analytics at Ohio University. Before dedicating herself to NLP and Sports Science, Liz competed as a professional shot putter for several years. In this episode, she starts by providing us with an understanding of the current state of sports science before sharing the lessons she learnt from her career as an athlete, and how they translate to a career in business and data science. You will hear how she was able to balance different activities at once, how she sets up process-oriented goals, the importance of rest and recovery, and how knowing her values helps her be in the right mindset to put failure into perspective. The episode finishes with an anecdote from Karen regarding how she experiences numerical reasoning tests, leading to Liz’s reflection on the need to change the way maths is taught to serve our field better. </p>
<p>Enjoy!</p>
<p>******************************</p>
<p>Show notes:</p>
<p>******************************</p>
<p>Liz' LinkedIn: <a href='https://www.linkedin.com/in/wanless/'>https://www.linkedin.com/in/wanless/</a></p>
<p> </p>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Dr. Liz Wanless, Assistant Director of Analytics at Ohio University. Before dedicating herself to NLP and Sports Science, Liz competed as a professional shot putter for several years. In this episode, she starts by providing us with an understanding of the current state of sports science before sharing the lessons she learnt from her career as an athlete, and how they translate to a career in business and data science. You will hear how she was able to balance different activities at once, how she sets up process-oriented goals, the importance of rest and recovery, and how knowing her values helps her be in the right mindset to put failure into perspective. The episode finishes with an anecdote from Karen regarding how she experiences numerical reasoning tests, leading to Liz’s reflection on the need to change the way maths is taught to serve our field better. </p>
<p>Enjoy!</p>
<p>******************************</p>
<p>Show notes:</p>
<p>******************************</p>
<p>Liz' LinkedIn: <a href='https://www.linkedin.com/in/wanless/'>https://www.linkedin.com/in/wanless/</a></p>
<p> </p>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/hijbb8/Ep59_Elizabeth_Wanless_-_Professional_Athlete_to_Data_Science_Lessons_from_the_Fieldaq9da.mp3" length="28937591" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Dr. Liz Wanless, Assistant Director of Analytics at Ohio University. Before dedicating herself to NLP and Sports Science, Liz competed as a professional shot putter for several years. In this episode, she starts by providing us with an understanding of the current state of sports science before sharing the lessons she learnt from her career as an athlete, and how they translate to a career in business and data science. You will hear how she was able to balance different activities at once, how she sets up process-oriented goals, the importance of rest and recovery, and how knowing her values helps her be in the right mindset to put failure into perspective. The episode finishes with an anecdote from Karen regarding how she experiences numerical reasoning tests, leading to Liz’s reflection on the need to change the way maths is taught to serve our field better. 
Enjoy!
******************************
Show notes:
******************************
Liz' LinkedIn: https://www.linkedin.com/in/wanless/
 
 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2066</itunes:duration>
                <itunes:episode>59</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
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    <item>
        <title>Ep.58 Susan Walsh - Becoming an authentic and visible role model</title>
        <itunes:title>Ep.58 Susan Walsh - Becoming an authentic and visible role model</itunes:title>
        <link>https://womenindata.podbean.com/e/ep58-susan-walsh-becoming-an-authentic-and-visible-role-model/</link>
                    <comments>https://womenindata.podbean.com/e/ep58-susan-walsh-becoming-an-authentic-and-visible-role-model/#comments</comments>        <pubDate>Wed, 27 Apr 2022 18:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/5aaeb1f7-968d-3a2c-97c4-945d6a0d120b</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Susan Walsh, The Classification Guru. In a field that gets excited by buzzwords, Susan used her sparkling personality to increase her visibility and make data cleansing fun. In this episode, she talks about how being authentic and visible helped her grow her business, along with the impact it has on the upcoming generation of data professionals. An extrovert by nature, she recognises that increasing visibility comes as a challenge to introverts and provides tips for them to do so without feeling uncomfortable. You will hear about how she keeps her content authentic despite the fear of judgment and negative experiences, as well as how the shift to in-house data analytics made organisations more aware of the challenges related to data quality, providing her with a space to start a business in the field. </p>
<p>Enjoy!</p>
<p> </p>
<p>***********************</p>
<p>Show notes:</p>
<p>***********************</p>
<p>Susan's LinkedIn: https://www.linkedin.com/in/susanewalsh/</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Susan Walsh, The Classification Guru. In a field that gets excited by buzzwords, Susan used her sparkling personality to increase her visibility and make data cleansing fun. In this episode, she talks about how being authentic and visible helped her grow her business, along with the impact it has on the upcoming generation of data professionals. An extrovert by nature, she recognises that increasing visibility comes as a challenge to introverts and provides tips for them to do so without feeling uncomfortable. You will hear about how she keeps her content authentic despite the fear of judgment and negative experiences, as well as how the shift to in-house data analytics made organisations more aware of the challenges related to data quality, providing her with a space to start a business in the field. </p>
<p>Enjoy!</p>
<p> </p>
<p>***********************</p>
<p>Show notes:</p>
<p>***********************</p>
<p>Susan's LinkedIn: https://www.linkedin.com/in/susanewalsh/</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/47ga88/Ep58_Susan_Walsh_Becoming_an_authentic_and_visible_role_model9ytmn.mp3" length="23954989" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Susan Walsh, The Classification Guru. In a field that gets excited by buzzwords, Susan used her sparkling personality to increase her visibility and make data cleansing fun. In this episode, she talks about how being authentic and visible helped her grow her business, along with the impact it has on the upcoming generation of data professionals. An extrovert by nature, she recognises that increasing visibility comes as a challenge to introverts and provides tips for them to do so without feeling uncomfortable. You will hear about how she keeps her content authentic despite the fear of judgment and negative experiences, as well as how the shift to in-house data analytics made organisations more aware of the challenges related to data quality, providing her with a space to start a business in the field. 
Enjoy!
 
***********************
Show notes:
***********************
Susan's LinkedIn: https://www.linkedin.com/in/susanewalsh/]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
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        <itunes:duration>1710</itunes:duration>
                <itunes:episode>60</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
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    <item>
        <title>Ep.57 Gelareh Taghizadeh - AI &amp; NLP in practice</title>
        <itunes:title>Ep.57 Gelareh Taghizadeh - AI &amp; NLP in practice</itunes:title>
        <link>https://womenindata.podbean.com/e/ep57-gelareh-taghizadeh-ai-nlp-in-practice/</link>
                    <comments>https://womenindata.podbean.com/e/ep57-gelareh-taghizadeh-ai-nlp-in-practice/#comments</comments>        <pubDate>Wed, 13 Apr 2022 19:35:00 +0200</pubDate>
        <guid isPermaLink="false">womenindata.podbean.com/c131b4ee-3222-3d86-8f4e-72674a34e1f3</guid>
                                    <description><![CDATA[<p>This week, Karen is joined by Gelareh Taghizadeh, Lead Data Scientist at Beamery and an active member of the Women of MENA in technology community. At the time of the recording, Gelareh was working at Cogx, and in this episode, she gives a detailed explanation of how Artificial Intelligence and Natural language processing are revolutionising the podcasting industry. You will, for example, hear about how graph-based summarisers enable snippet identification. You will also hear about the role cloud computing and deep learning played in improving algorithms’ performance, allowing the integration of NLP in our daily lives, as well as the top skills needed to make a start in data science and NLP. Gelareh closes the conversation by explaining how through knowledge and idea-sharing, and by showing what’s possible, London’s NLP community helped her nurture her passion.</p>
<p>*************************</p>
<p>Show notes</p>
<p>*************************</p>
<p>Connect with Geraleh on LinkedIn: https://www.linkedin.com/in/gelareh-taghizadeh-247b3435/</p>
<p> </p>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week, Karen is joined by Gelareh Taghizadeh, Lead Data Scientist at Beamery and an active member of the Women of MENA in technology community. At the time of the recording, Gelareh was working at Cogx, and in this episode, she gives a detailed explanation of how Artificial Intelligence and Natural language processing are revolutionising the podcasting industry. You will, for example, hear about how graph-based summarisers enable snippet identification. You will also hear about the role cloud computing and deep learning played in improving algorithms’ performance, allowing the integration of NLP in our daily lives, as well as the top skills needed to make a start in data science and NLP. Gelareh closes the conversation by explaining how through knowledge and idea-sharing, and by showing what’s possible, London’s NLP community helped her nurture her passion.</p>
<p>*************************</p>
<p>Show notes</p>
<p>*************************</p>
<p>Connect with Geraleh on LinkedIn: https://www.linkedin.com/in/gelareh-taghizadeh-247b3435/</p>
<p> </p>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/wv7mi7/Ep57_Gelareh_Taghizadeh_-_AI_NLP_in_practiceazbdq.mp3" length="23992612" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week, Karen is joined by Gelareh Taghizadeh, Lead Data Scientist at Beamery and an active member of the Women of MENA in technology community. At the time of the recording, Gelareh was working at Cogx, and in this episode, she gives a detailed explanation of how Artificial Intelligence and Natural language processing are revolutionising the podcasting industry. You will, for example, hear about how graph-based summarisers enable snippet identification. You will also hear about the role cloud computing and deep learning played in improving algorithms’ performance, allowing the integration of NLP in our daily lives, as well as the top skills needed to make a start in data science and NLP. Gelareh closes the conversation by explaining how through knowledge and idea-sharing, and by showing what’s possible, London’s NLP community helped her nurture her passion.
*************************
Show notes
*************************
Connect with Geraleh on LinkedIn: https://www.linkedin.com/in/gelareh-taghizadeh-247b3435/
 
 ]]></itunes:summary>
        <itunes:author>womenindata</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1713</itunes:duration>
                <itunes:episode>58</itunes:episode>
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