Kaiwen (Kevin) Lu is a data scientist and machine learning engineer with extensive experience in quantitative research and consulting. Notable positions include time spent as a quantitative research intern at Huabao International Holdings Ltd, where forecasting models for index funds were developed, and as a senior consultant at Illinois Business Consulting, where a blueprint model for utility market enhancements was proposed. Following roles at Duetto as a data scientist and senior machine learning engineer, along with a position at Franklin Templeton Investments focusing on IT asset forecasting, Lu currently serves as a machine learning engineer at Meta. Academic credentials include a Master's degree in Data Analytics from San Jose State University, a Bachelor's degree in Statistics from the University of Illinois at Urbana-Champaign, and a high school diploma from Lake Forest Academy.
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