hannah yan han
US, China
Summary
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RockstarHannah 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.
10 years of coding experience
Github Skills (37)
visualization10
geospatial10
large-scale10
scale10
kepler10
gis10
data-visualization10
kepler-gl10
geospatial-analysis10
interpretation8
photoshop8
sketch8
threejs7
javascript7
p5js7
Programming languages (4)
Github contributions (5)
yanhann10/yanhann10.github.io
Mar 2017 - Sep 2019
Contributions:86 pushes, 1 branch in 2 years 5 months
yanhann10/ml_interpret
Feb 2020 - Mar 2020
Dockerized machine learning interpretation app (currently on heroku and slow loading, yet to switch)
Contributions:36 commits, 30 pushes, 1 branch in 1 month
herokuslowdockermachine-learninginterpretation
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