Real Stories from Career Switchers | CareerCon 2019 | Kaggle

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"Listen to a panel of speakers who successfully moved into data science from other seemingly unrelated careers. They’ll discuss their approach to learning, offer practical advice on job searching, and show how they framed their past non-data science experiences to make them compelling during data science interviews."

Featured:
Jorge Arellano - Researcher at San Diego State University
Joanne Lin, MPH - Data Scientist at U.Group
Upom Malik - Senior Data Scientist at Coffee Meets Bagel
Dara Straussman, PhD - Data Scientist at Stripe"

About Kaggle:
Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data. Stumped? Ask the friendly Kaggle community for help.

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This is so encouraging. I am on the same path, path of transitioning from electrical engineering to data science. Hopefully machine learning and AI. Thanks Kaggle!

kovusseyit
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Its so encouraging... I am from Not for Profit background trying to enter Data Science .! Thanks Kaggle!

sureullwin
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This was so so helpful. Thank You everyone for giving their valuable time and views.

dataanalytics
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Wow, top right and bottom left wanted to be doctors? How surprising. Who would have thought!

Time and time again, we see people go to the traditional fields, technology or finance, or use data from social media. We need more diverse profiles and outcomes. We need to hear from data scientists who are not busy making us click, buy, subscribe, etc. We need to hear from data scientists for whom profit is a means to an end, not the end. Data science for social science, development policy, etc.

chacmool
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Switching from teaching English to data analyst.... so help me God!

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