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About this episode

Peter is a co-founder of DrivenData. He earned his master's in Computational Science and Engineering from Harvard’s School of Engineering and Applied Sciences. His work lies at the intersection of statistics and computer science, and he wants to help bring powerful new modeling techniques to the organizations that need them most. He previously worked as a software engineer at Microsoft and earned a BA in philosophy from Yale University. Here, Peter and Hugo discuss why use python for data science, the business case for data, DrivenData competitions on using yelp data to predict restaurant sanitary ratings and much more.

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