Jonathan Li is a data science leader with 11 years of experience and a PhD-background in control engineering, currently directing data science at NielsenIQ in Shanghai. He has deep domain expertise in demand forecasting and supply chain modeling from e-commerce roles at Coupang and ByteDance, and four years of applied analytics in new energy focusing on sensor-driven performance and root-cause analysis. Known for improving forecast accuracy by 30–40% through ensembles, rigorous backtesting and A/B validation, he blends advanced time-series modeling, ML explainability and production deployment. Comfortable with both structured and hard sensor data, he bridges research-grade techniques and operational decision-making to drive measurable business outcomes.
Contributions:1 release, 16 commits, 24 pushes in 2 years
memorybridgejava-heapjavaheap
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