Wen Zhang, a well-seasoned data scientist and expert marketer, has been making significant strides in the fields of predictive modeling, customer brand affinity, and supply chain optimization for The Home Depot. Armed with an array of analytical tools and skills, including SQL, Python, R, and machine learning, Wen has been able to apply innovative techniques in data mining, big data tools, and data visualization to derive insights that drive business growth. Wen holds a Master of Science degree in Business Analytics from Emory University's Goizueta Business School and a double major in PPE and Economics from the University of Michigan.

Throughout his career, Wen has been instrumental in a range of impressive organizations, including his current role as a data scientist for The Home Depot, where he has worked in different capacities, including a senior analyst in marketing analytics and data analyst. Wen has also served as a cloud ambassador for Microsoft and part-time assistant for Accenture, a research assistant for the University of Michigan Political Science department, and an educational consultant for LEAP Consulting Co., Ltd. Before his professional career, Wen attended Culver Academies and the High School Affiliated to Shanghai Jiao Tong University.