Welcome to episode 34 of AI Mentors, the podcast that helps you pave the way for a successful career in the world of Data Science and AI.

Powered by Alldus International the premium AI Workforce Solutions, our top consultant’s interview AI Leaders and Data Scientists from around the world about their personal journey to becoming a front-runner in AI. Guests offer practical advice to those interested in becoming a leader in Data Science.

Today’s guest is Deepna Devkar, Vice President of Data Science & Engineering at CNN where she heads up the Data Intelligence team in New York. She works to understand the CNN audience across devices and build recommendation systems that increase user engagement across all CNN brands. 

Deepna has worked primarily in the media industry with strong experience building and leading cross-functional teams. She enjoys working on projects ranging across audience segmentation, content recommendation and personalization. In 2018, she was recognized for her contribution as Folio’s Top Women in Media, Corporate Champion.

In the episode, Deepna will discuss:

Her interesting Data Science journey to joining CNN 

How they are applying Data Science to transform CNN Digital 

Transitioning from academia into industry 

Challenges to be aware of moving into Leadership roles 

How to build a successful Data Science team 

Advice on how to kick start your Data Science career 

What she loves about her role at CNN 

To find out more about Deepna and her work at CNN Digital, check out the website edition.cnn.com. You can also follow @CNN on Twitter or connect with Deepna on Linkedin.

What were your key learns from Deepna’s podcast? What takeaways did you gain from the show to help in your AI and Data Science aspirations? I would love to hear your thoughts so please leave a comment below.

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