Yunxia (Christina) Fan is a skilled data scientist with extensive experience in quantitative analysis, model risk management, and machine learning. At First Republic Bank, internship involvement included developing a commercial real estate credit loss model. A tenure at Huntington National Bank involved providing expertise in model validation for quantitative models related to financial assessments and fraud detection. Currently serving as a Data Scientist Tech Lead at Meta, responsibility includes leading the development of recommendation engine systems. Previous roles involved automation of marketing predictive modeling and successful implementation of machine learning solutions at Kemper, resulting in a 20% improvement in marketing conversion rates. Academic achievements include a Master’s degree in Statistics from the University of Chicago and a fellowship at Georgia Institute of Technology with a perfect GPA.
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