Summary
Yin 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.
16 years of coding experience