From Political Science to Data Science: How I Learned to Build the Right Data Science Career for Myself
From Political Science to Data Science: How I Learned to Build the Right Data Science Career for Myself


Ever since Harvard declared “Data Scientist” the sexiest job of the 21st century, there’s been a mad rush to build the coding and statistics skills to get this title. Yet the focus on being a 'scientist' ignores the myriad of other roles and skills that are important in every data science team. In this talk, I'll take you through how I built a career that allows me to leverage all my strengths - not just the most technical ones. Hopefully, by the end of the talk, you'll gather that being in data science isn't just for math and computer wizards- but also for subject matter experts, great communicators, and even product people, and will walk away with the steps to forge your own path moving forward.


Triveni Gandhi is a Data Scientist at Dataiku where she works with clients to deploy custom AI solutions and find meaning from complex data science pipelines. She enjoys learning about new technologies to solve whatever challenge comes her way and is a proud self-taught data scientist. Triveni is also a co-host of the Banana Data Podcast, which highlights new developments and challenges in the world of AI. Prior to working at Dataiku, she served as a data analyst for a large education non-profit in NYC, where she developed data pipelines and analyses to support the work of educators across the city. Triveni holds a Ph.D in Political Science from Cornell University.

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