Xiaogan Mao is a Data Scientist II at Amazon, known for creative thinking and expertise in statistical modeling using Python, R, SAS, and SQL. They previously worked as a Research Assistant at the Shanghai Futures Exchange, where they analyzed price volatility in commodity markets, and as a Data Analyst Intern at Northeast Securities Co., Ltd., focusing on securities market predictions. Xiaogan also served as a Teaching Assistant at Columbia University, assisting students in understanding statistical concepts. They hold a Master of Arts in Statistics from Columbia University and a Bachelor of Arts in Mathematics and Applied Mathematics from Shanghai Jiao Tong University.
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