Emmi Kim is a data scientist with over 15 years of experience in insurance and finance, specializing in data science, predictive modeling, analytics, and risk management. Emmi has held various roles, including Sr. Data Scientist at Farmers Insurance and Statistician at Columbia University, where they applied machine learning and statistical methods to enhance business decisions. Currently, Emmi serves as an Associate Lecturer at Columbia University School of Professional Studies and as a Vice President at Marsh, focusing on parametric solutions. They are dedicated to knowledge sharing and collaboration in areas such as AI, risk, and strategy. Emmi is also pursuing advanced degrees in Financial Mathematics, Mathematics, and Statistics.
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