Yueming Zhang is a Staff Data Scientist at Walmart with eight years of experience turning supply-chain and transportation data into operational improvements and business insights. Grounded in logistics and operations research (M.S.), he progressed from logistics management and analytics roles to senior data positions at Walmart and Google, developing forecasting models, warehouse standardization, and enterprise-level performance reporting. At Walmart he combines data visualization and cross-functional influence to drive decisions that reduce delivery failures and optimize network performance. He has hands-on experience building forecasting and reporting tools for thousands of SKUs and integrating new data sources to improve quality and structure. Based in California, Yueming blends practical logistics know-how with advanced analytics—an uncommon mix that helps translate experimental models into measurable operational gains.
8 years of coding experience
5 years of employment as a software developer
Data Analyst Nanodegree, Data Analyst Nanodegree at Udacity
Bachelor’s Degree, Logistics & Transportation, 3.3, Bachelor’s Degree, Logistics & Transportation, 3.3 at Southeast University
Master’s Degree, Operations Research, 3.8, Master’s Degree, Operations Research, 3.8 at Northeastern University
Summer program, Architecture, Summer program, Architecture at Southern California Institute of Architecture
Contributions:3 pushes, 1 branch in 1 year 4 months
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