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Jeffrey Yau

VP of Data Science and Engineering at Walmart Global Tech

Jeffrey is a VP of Data Science, Data Engineering, and Platform
Engineering at the Store Associate Technology of Walmart Global
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Jeffrey is a VP of Data Science, Data Engineering, and Platform Engineering at the Store Associate Technology of Walmart Global Technology. Some of his prior roles include the Chief Data Scientist at AllianceBernstein, a global asset-management firm that managed over $550 billions, Vice President and Head of Data Science at Silicon Valley Data Science, and Vice President and Head of Risk Analytics and Quantitative Research at Charles Schwab Corporation. He has taught econometrics, statistics, and machine learning at UC Berkeley, Cornell, NYU, University of Pennsylvania, and Virginia Tech. Jeffrey is active in the data science community and often speaks at data science conferences and local events. He has many years of experience in applying a wide range of econometric and machine learning techniques to create analytic solutions for financial institutions, businesses, and policy institutions. Jeffrey holds a Ph.D. and an M.A. in Economics from the University of Pennsylvania and a B.S. in Mathematics and Economics from UCLA.
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Data Science Salon Virtual
September 25, 2020, Online
Data Science Salon Virtual
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Jeffrey Yau
VP of Data Science and Engineering at Walmart Global Tech
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