Summary
Weijing Zhang is a supply chain-focused business analyst and Teaching Assistant with eight years of hands-on experience applying data analytics, SQL, R, Python, and optimization methods across manufacturing, logistics, and consulting projects. With an MS in Business Analytics (Supply Chain Analytics) from Washington University in St. Louis and a track record of internships and research engagements, she has reduced lead times and excess inventory, improved space utilization, and quantified root causes of the bullwhip effect for enterprise stakeholders. She combines practical operations experience—working with SAP, Hive, and real-world distribution datasets—with academic rigor, deploying P‑Median, exact and genetic algorithms to optimize consolidation and routing decisions. Known for translating complex data into actionable strategies and visualizations, she drives efficiency gains (e.g., 25% time savings, 15% inventory reduction) and designs data structures to validate business hypotheses. Based in Missouri, she thrives in collaborative environments and bridges analytics and operations to deliver measurable supply chain improvements.
8 years of coding experience
Bachelor's degree, Logistics, Materials, and Supply Chain Management, 89.5/100, Bachelor's degree, Logistics, Materials, and Supply Chain Management, 89.5/100 at Wuhan University of Technology
Master of Science - MS, Business Analytics (Supply Chain Analytics Track), 3.90/4, Master of Science - MS, Business Analytics (Supply Chain Analytics Track), 3.90/4 at Washington University in St. Louis
Chinese, English