Pu Li, Ph.D., is an Analytics Manager at PricewaterhouseCoopers, where they leverage a strong background in economics and data analysis. With a Ph.D. in economics and nine years of industry experience, they have expertise in Python and quantitative forecasting using machine learning and advanced econometrics. Previously, Pu served as a Quantitative Analyst at State Street, focusing on credit risk modeling and machine learning applications, and held roles in academia and public policy analysis. They taught microeconomics courses at the University at Albany and gained valuable experience through internships in econometrics modeling with the New York State Division of the Budget.
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