Ming Wang

Applied Scientist

Ming Wang is an accomplished Applied Scientist at Amazon since October 2021, focusing on recommendation systems, language modeling, information retrieval, and ranking. Prior experience includes serving as a Senior Data Scientist at Quicken Loans from August 2020 to September 2021, where Ming led the design of a pricing elasticity model and utilized various machine learning frameworks for client behavior analysis and optimization. Ming's career began as a Research Assistant at the University of Miami, followed by a stint at Yale School of Public Health. Ming holds a Ph.D. in Statistics from the University of Miami Business School, a Master's degree in Applied Statistics from Nanjing University, and a Bachelor's degree in Financial Statistics from Southwestern University of Finance and Economics, complemented by a Machine Learning Engineer Nano Degree from Udacity.

Location

New York, United States

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