Hannah Han
Senior Data Scientist
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolHannah Han is a Senior Data Scientist in the San Francisco Bay Area with a decade of experience applying ML, causal inference, and data visualization to drive product and business impact across companies from Amazon to ThredUp. She builds and ships production ML systems—ranging from deep reinforcement-learning recommenders and contextual bandits to experimental frameworks—while grounding work in rigorous evaluation and alignment of offline metrics with real-world outcomes. Her background spans NLP, computer vision, and interactive data viz, reflecting a rare blend of research-minded modeling and design-forward presentation. Trained in interdisciplinary data science at Duke and with engineering roots from NUS and EPFL, she often bridges product, research, and design teams to turn complex signals into actionable insights. An understated strength is her focus on AI-for-research: thinking critically about evaluation methodology and how metrics translate to user and business value.
11 years of coding experience
5 years of employment as a software developer
Master's degree Interdisciplinary Data Science, Master's degree Interdisciplinary Data Science at Duke UniversityEngineering (Exchange), Engineering (Exchange) at EPFLBachelor of Engineering (B.Eng. Hons) Engineering Science (Bio-imaging), Bachelor of Engineering (B.Eng. Hons) Engineering Science (Bio-imaging) at National University of Singapore
English, Chinese, French
Github Skills (24)
visualization10
geospatial10
kepler10
ml5js10
data-visualization10
geospatial-analysis10
code-behind9
r9
threejs9
p5js9
photoshop8
react-component8
sketch8
google-app-engine7
webapp7
Programming languages (5)
Github contributions (5)
yanhann10/particle_art
May 2026 - Jul 2026
Contributions:2665 pushes, 2 branches, 1 issue in 1 month
yanhann10/yanhann10.github.io
Mar 2017 - Sep 2019
Contributions:86 pushes, 1 branch in 2 years 5 months
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