Liangliang Yang is a Lead Data Scientist at Target, currently focusing on demand forecasting and pricing modeling. With a Ph.D. in Physics from Washington State University, they possess a robust problem-solving skill set that applies to diverse environments. Prior to their role at Target, Liangliang worked as a Senior Data Scientist at Capital One, where they developed a machine learning pipeline that won a prestigious team award. They also have experience as a Data Scientist II at Cox Automotive, where they created predictive models for vehicle auctions. Liangliang is pursuing a Master of Science in Computer Science at the Georgia Institute of Technology.
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