Women in Data Podcast

Ep.68 Itoro Liney - Tackling algorithmic bias

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! 

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Show notes: 

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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 

 

Ep.67 Candace Ohm - Succeeding against the odds

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! 

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Show notes: 

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Candace’s LinkedIn: https://www.linkedin.com/in/candaceohm/ 

Ep.66 Shikta Das and Dr Tazeen Rizvi - Towards more inclusive HealthTech solutions

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! 

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Show notes: 

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• 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 

Ep.65 Adriana Beal - Taking ownership of your career in data

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! 

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Show notes: 

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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/ 

 

Ep.64 - Neha Wadhawan - Establishing yourself in a new role

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!

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Show notes

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Neha’s LinkedIn: https://www.linkedin.com/in/neha-wadhawan-7099848/

She recommends:

• HBR articles
• LinkedIn learning

Ep.63 - Nicki Tinson - Reduced hours and leadership

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! 

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Show notes  

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Nicki's LinkedIn: https://www.linkedin.com/in/empoweredanalysts/

Ep.62 Sophie Duffy - Future-proofing your career

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! 

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Show notes  

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Sophie’s LinkedIn: https://www.linkedin.com/in/sophie-duffy/ 

Ep.61 - Avoiding the Glue Work black hole & gaining the recognition you deserve

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!

 

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Show notes:

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Debbie's LinkedIn:https://www.linkedin.com/in/debbie-kerr-069ba2141/

Yamini's LinkedIn: https://www.linkedin.com/in/yamini-krishnamoorthy-1aba26127/

Ep.60 Bianka Pal and Cecilia Oliveira - Starting in Data Science

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! 

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Show notes  

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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 

Ep.59 Elizabeth Wanless - Professional Athlete to Data Science: Lessons from the Field

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!

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Show notes:

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Liz' LinkedIn: https://www.linkedin.com/in/wanless/