Michelle Gu is an experienced data scientist with a strong background in mathematics and financial analysis. Holding a Master of Science in Financial Mathematics from The University of Chicago and a Bachelor of Science in Mathematics and Economics from the University of Pittsburgh, Michelle has worked in various analytical roles including as a Calculus Tutor and Undergraduate Teaching Assistant at the University of Pittsburgh, a Quant Data Analyst Intern at Mesirow Financial, and a Financial Modeling Analyst at Taylor Freres. In the financial sector, Michelle served as a Sr. Business Analyst/Business Manager at Capital One and currently works as a Data Scientist focused on Product Analytics at Meta. Additionally, Michelle’s internship experiences include valuable contributions at BNP Paribas, Shanghai Pudong Development Bank, and Supernova Companies, where significant research and data evaluation were conducted.
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