Women in Data Podcast
Ep.72 Lizzie Harris - Inefficiencies when recruiting data professionals

Ep.72 Lizzie Harris - Inefficiencies when recruiting data professionals

December 7, 2022

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!

 

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Show notes:

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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

Ep.71 Lizzie Harris - Redundancy and job-hunting experiences

Ep.71 Lizzie Harris - Redundancy and job-hunting experiences

November 23, 2022

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!

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Show notes:

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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

Ep.70 Jena Zangs - How to stay attractive to the market

Ep.70 Jena Zangs - How to stay attractive to the market

November 9, 2022

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! 

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Show notes: 

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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 

Ep.69 Sadiqah Musa - Improving inclusion in data teams

Ep.69 Sadiqah Musa - Improving inclusion in data teams

October 26, 2022

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!

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Show notes:

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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/

Ep.68 Itoro Liney - Tackling algorithmic bias

Ep.68 Itoro Liney - Tackling algorithmic bias

October 12, 2022

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

Ep.67 Candace Ohm - Succeeding against the odds

September 28, 2022

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

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

September 14, 2022

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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They recommend: 

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

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

August 31, 2022

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: 

 

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

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

July 20, 2022

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

Ep.63 - Nicki Tinson - Reduced hours and leadership

July 6, 2022

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/

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