AI Mentors E16: Kendell Timmers, VP of Advertising Analytics at New York Times


Welcome to episode 16 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 on the show is Kendell Timmers. Kendell is the VP of Advertising Analytics at the New York Times. Kendell is a digital data expert and problem solver with a deep domain knowledge across ad tech. She also has a  passion for developing talent having built a robust group of analysts focused on advertising data products, testing, and analytics. 

Kendell is also responsible for creating innovative data products to serve the advertising needs at New York Times. She also leads the design of campaign-level analytics products to provide key insights to their advertisers as well as partnering with the tech, advertising, marketing and newsroom teams to align on the testing strategy for the advertising experience. 

In the show, Kendell will tell you about:

What attracted her to a career in AI and Data Science

How the New York Times are maximising their revenue through Advertising

The impact of AI and Machine Learning at the New York Times

What she loves most about her job

Pros and Cons of a career in Data Science

Amazing tips on how to interview more effectively

To find out more about Kendell and her work at New York Times, check out the website and you can also connect with Kendell on Linkedin and follow them on Twitter @nytimes.

What were your key learns from Kendell’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.

If you would like to hear more from the AI Mentors podcast then please subscribe and don’t forget to like and share with your friends on social media.

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