Summary
Shan Jiang is a data-driven demand planning analyst based in Sunnyvale with nine years of experience blending supply chain planning and applied data science. Currently at Tesla after senior planning roles at Hisense, he leverages an M.S. in Business Intelligence & Analytics and hands-on skills in Python, R, SQL, Tableau, Hadoop, and Spark to turn forecasting and satellite-scale datasets into actionable inventory and demand insights. His background spans machine learning research (including GIS time-series satellite work) and volunteer ML for public health, showing a knack for applying advanced models to real-world operational problems. Equally comfortable building dashboards and performing cash-flow-informed risk analysis, he brings a quantitative, end-to-end view from data engineering to executive-ready visualizations. His public GitHub and Tableau portfolios reflect a preference for practical, production-oriented projects rather than purely academic code.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree Financial Mathematics, Bachelor's degree Financial Mathematics at Anhui University of Finance and Economics
Master's degree Business Intelligence & Analytics, Master's degree Business Intelligence & Analytics at Stevens Institute of Technology
Chinese, English