Yin Qiu
Lead Data Scientist
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolYin Qiu is a Lead Data Scientist based in the San Francisco Bay Area with 16 years of experience applying data mining, machine learning, and geospatial analytics to sustainable transport and climate challenges. After four years as a World Bank analyst consulting across Africa, Latin America, Asia and Europe, she deepened her data science expertise at UC Berkeley School of Information and now leads analytics at CALSTART. She combines Python, Spark, TensorFlow/PyTorch and advanced geospatial toolkits to turn messy, location-based datasets into actionable policy and program insights. Fluent in English, Mandarin, Cantonese and Spanish, she bridges technical teams and international stakeholders to deliver deployable models and visualizations. A detail that sets her apart: she pairs rigorous academic training (M.I.M.S. 3.9) with frontline policy work, enabling practical ML solutions grounded in real-world transport systems.
15 years of coding experience
3 years of employment as a software developer
University of California San DiegoBachelor of Management, Bachelor of Management at Sun Yat-Sen UniversityHigh School, Science (Physics), High School, Science (Physics) at Guangzhou Zhixin High SchoolMaster of Public Policy (M.P.P), Public Policy Analysis, Master of Public Policy (M.P.P), Public Policy Analysis at Georgetown UniversityMaster of Information Management and Systems (M.I.M.S), Data Science/ Analytics, 3.9, Master of Information Management and Systems (M.I.M.S), Data Science/ Analytics, 3.9 at UC Berkeley School of Information
English, Chinese, Spanish, chinese (mandarine)
Stackoverflow
13reputation
3kreached
0answers
2questions
Github Skills (10)
facebook10
c-library9
cpp8
deadlock6
valgrind6
pthreads6
hash3
compile2
hash-functions2
compile-time2
Programming languages (1)
Github contributions (5)
naturegirl/yfs
Jun 2010 - Sep 2010
Contributions:36 commits in 2 months
queba/qgraph
Sep 2010 - Sep 2010
Contributions:11 commits in 2 days
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