Zhenqi Wang is an Applied Scientist at Amazon Ads, focusing on ads reserved price optimization and contextual targeting. Previously, Zhenqi worked as a Data Scientist II at Uber, specializing in document and query understanding through text mining and natural language processing. Zhenqi also held roles as a Senior Quantitative Analyst and a Quantitative Analyst at Bank of the West, where they developed machine learning models for anti-money laundering and loan default prediction. Zhenqi earned a Master of Science in Computer Science from the Georgia Institute of Technology and a Master of Arts in Statistics from the University of California, Berkeley, building a strong foundation in quantitative research and analytics.
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