Shuang Wang is a data scientist with 10 years’ experience applying statistics and machine learning across supply chain, e-commerce, and manufacturing domains at Apple, Alibaba, ByteDance and Wish. Armed with a BS in Data Science from Fudan and an MS in Statistics from NUS, she builds and deploys models that turn complex supply-and-demand signals into measurable operational improvements. Her recent work spans Taobao/Tmall commodity optimization and Apple manufacturing quality-efficiency projects, reflecting a rare blend of product-side impact and rigor in production ML. Comfortable moving between research-grade statistics and engineering-ready solutions, she favors form-and-function designs that prioritize interpretability and deployment stability.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Data Science and Big Data Technology, Bachelor of Science - BS Data Science and Big Data Technology at Fudan University
Master of Science - MS Statistics, Master of Science - MS Statistics at National University of Singapore
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