Dingyi Shang
Data Scientist II
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDingyi Shang is a Data Scientist II based in Seattle with a decade of quantitative and analytics experience across Amazon and Capital One, specializing in demand planning and credit risk modeling. He holds a B.S. in Actuarial Science and Statistics from UIUC, an M.S. in Analytics/Data Science from Georgetown, and additional graduate training in Computer Science, blending rigorous statistical foundations with production-focused ML. At Amazon he drives demand planning for devices, and at Capital One he led PD/LGD scorecard development and broader data science initiatives, demonstrating strength in building auditable, regulatory-ready models. A fast learner and analytical thinker, he brings deep expertise in statistical modeling, data mining, and optimization to solve industrial problems and shape commercial strategy. Notably, his background straddles both academic research and large-scale operational deployment, enabling practical innovation under real-world constraints.
10 years of coding experience
4 years of employment as a software developer
High School, High School at The High School Affiliated to Renmin University of ChinaMaster of Science (M.S.), Analytics, Data Science, Master of Science (M.S.), Analytics, Data Science at Georgetown UniversityMaster's degree, Computer Science, Master's degree, Computer Science at University of Illinois Urbana-Champaign
Github Skills (188)
nacos10
api-management10
postgresql10
excelreader10
go-language10
excelize10
security10
scheduling10
consul10
http-client10
dns10
excel10
distributed-transactions10
istio10
serverless10
Programming languages (7)
Github contributions (5)
fudali113/go-tpl-replacer
May 2018 - Mar 2020
Contributions:2 releases, 3 pushes, 1 branch in 1 year 10 months
fudali113/SpiderMonitorSystem
Jul 2016 - Oct 2016
Contributions:64 commits, 42 pushes, 1 branch in 3 months
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