Lianlie Huang
Supply Chain Analyst at Yihaodian
Shanghai, Shanghai, China
Summary
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Senior🎓
Top SchoolLianlie Huang is a Supply Chain Analyst with 9 years of experience applying statistical modeling and programming (R/Matlab/Python) to optimize end-to-end supply chain processes. With an M.S. in Statistics from Michigan State University, Lianlie has built production systems for SKU-level sales forecasting across 100,000+ items, vehicle routing with improved genetic algorithms, and warehouse efficiency improvements that cut costs and boosted productivity by 25–30%. He specializes in making robust predictions from small samples with many factors, handling outliers, model ensembles, and integrating results into pricing, promotion layout, and Auto-PO workflows. Comfortable bridging analytics and operations, he routinely collaborates with data and sales teams to turn models into actionable automation that reduces manual operator workload. Based in Shanghai, he brings a pragmatic blend of academic rigor and hands-on system delivery that drives measurable cost and efficiency gains.
9 years of coding experience
Master's degree, Statistics, Master's degree, Statistics at Michigan State University
English, ChineseGithub contributions (1)
GoogleStudyJams/android-for-beginners
Apr 2017 - Apr 2017
Contributions:5 commits, 5 pushes in 5 days
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