Jonathan Gao has extensive experience in data analysis, econometrics, and research within various prestigious organizations. At the U.S. Census Bureau, Jonathan implemented data visualization techniques and completed projects related to government districts. Jonathan further developed skills as a Research Assistant at Duke University, where large datasets were cleaned and analyzed for econometric studies, including dynamic pricing and airline mergers. Jonathan's role at the U.S. Securities and Exchange Commission involved quantifying investor responses to the Great Recession using survey data. As an Economist at Amazon, Jonathan designed marketing models to optimize revenue generation and led evaluations of health benefits, influencing HR decisions. Jonathan acquired a PhD in Economics from Princeton University, building a solid foundation in causal inference, machine learning, and data management, complemented by mentoring roles in data science education.
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