Yvette Tian possesses extensive experience in data analysis and statistical modeling, beginning with a role as an Actuarial Analyst at PICC, where Yvette conducted research on the Hong Kong insurance market and presented findings to senior leadership. Yvette then served as a Statistician at Ford Motor Credit Company, developing credit risk scorecard models and conducting studies on vendor data and dealer preferences. At Quicken Loans, Yvette worked in a cross-functional team as a Data Scientist and Modeler, applying machine learning techniques in Python and R to evaluate business risks and enhance profitability. Currently, as a Data Science Manager at Meta, Yvette leads an analytics team in advancing virtual and augmented reality technologies.
Education includes a Bachelor of Science in Actuarial Science from The University of Hong Kong and a Master's degree in Statistics from the University of Michigan, where Yvette achieved a 3.9 GPA.
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