Jamie Kang has extensive experience in data science and research, starting as a Research Scientist Intern at Lyft, where interpretable machine learning models were developed for predicting supply and rider pickup ETAs in the rideshare marketplace. This was followed by a Data Scientist Internship at Meta, focusing on ads for small businesses. Jamie progressed to Uber as an Applied Scientist, working on algorithms for real-time pricing in Uber Eats. Currently, Jamie serves as a Research Data Scientist at Google. Academic credentials include a Bachelor of Science in Operations Research from Columbia University, graduating with a 4.0 GPA, and a Doctor of Philosophy in Operations Research from Stanford University.
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