Zhengyang Hu is a Staff Data Scientist with nine years of experience applying operations research and optimization to retail and telecom supply chains. He has led inventory, forecasting, and workforce-planning initiatives at Walmart and T-Mobile, translating multi-echelon inventory models and matching/rehabilitation optimizations into production improvements. Holding a PhD in Operations Research with a statistics minor and a background that includes internships building car-scheduling heuristics and interior-point QP solvers, he blends deep algorithmic expertise with practical deployment. Known for tackling reverse logistics, BOPIS and channel-fill challenges, he often bridges research-grade models and business constraints to drive measurable operational impact. Based in Rogers, Arkansas, he pairs academic rigor with hands-on engineering to scale optimization solutions across complex, distributed networks.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree Industrial Engineering, Bachelor's degree Industrial Engineering at China Jiliang University
PhD Major in Operations Research and Minor in Statistics, PhD Major in Operations Research and Minor in Statistics at Iowa State University
Master's degree Industrial engineering/Operations Research, Master's degree Industrial engineering/Operations Research at Arizona State University
Contributions:1 release, 23 commits, 1 PR in 5 years 6 months
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