Shan Shen is a Senior Data Scientist at Google Cloud with 11 years of experience applying advanced machine learning and Bayesian methods to large-scale capacity planning and demand forecasting. She leads forecasting for over 100 of Google’s largest commercial customers during peak events, delivering a 99% forecast accuracy and a 10% improvement in inventory efficiency. Previously she drove end-to-end data architecture and revenue-generating analytics at DataJoint and built research-grade modeling expertise during a Ph.D. and postdoctoral work in neuroscience. Comfortable bridging research and production, Shan collaborates across product, engineering, sales, and capacity teams to turn complex data into operational strategy. Based in Bellevue, WA, she combines scientific rigor with cloud-scale execution and a track record of translating academic methods into business impact.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy Neuroscience, Doctor of Philosophy Neuroscience at Baylor College of Medicine
Bachelor of Science Biology/Biological Sciences General, Bachelor of Science Biology/Biological Sciences General at Peking University
Contributions:1 review, 1411 commits, 57 PRs in 3 years 6 months
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