John Sheng is a seasoned professional in the field of data science and machine learning, currently serving as a Machine Learning Engineer at Tapad since October 2021. Prior to this role, John worked at Analytic Partners from May 2020 to October 2021, where responsibilities included developing a marketing mix product and a general machine learning platform. Previous experiences include a data science internship at UTOFUN, where John focused on data integrity, extraction, and visualization, and a data analytics internship at Francis Peltast Partners, where a regression model was built to predict undergraduate enrollment trends. John has also interned at China Quantitative Investment Co., Ltd, contributing to quantitative research and data preparation, and served as a teaching assistant at Indiana University Bloomington. John holds a Master of Arts in Statistics from Columbia University and a Bachelor's degree in Applied Mathematics from Indiana University Bloomington.
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