Yihe Wang is an accomplished professional in the fields of data science and machine learning, with experience at prominent companies including J.P. Morgan, Synchrony, Meta, and a research role at the University of Illinois at Urbana-Champaign. Notable experiences include developing automated machine learning solutions for the ROAR platform at J.P. Morgan and creating a two-staged recommender system at Synchrony. Yihe has a strong academic background, holding a Bachelor's degree in Statistics from Beijing Technology and Business University, a Master's degree in Statistics with a GPA of 3.97, and a PhD in Statistics from the University of Illinois at Urbana-Champaign. Additionally, Yihe has experience as an Assistant Industry Analyst and has contributed to significant research presentations and publications throughout educational endeavors.
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