Xing S

Co-Founder at Seen Health

Los Angeles, California, United States
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Summary

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Rockstar
🎓
Top School
Xing S is a founder and growth-focused operator with 11 years of experience building and scaling products across logistics and health tech. As Co-Founder of Seen Health, he is applying data-driven design to create better aging experiences, drawing on a track record leading global expansion at Uber Freight where he launched markets and built geo-expansion strategy. His background blends hands-on analytics (including curating Data Science Specialization course notes) with strategy, product launches, and cross-cultural market builds from his time growing Uber in China. Earlier roles in consulting, research, and a dual engineering/economics degree from Duke give him a disciplined, systems-oriented approach to problems. He pairs startup grit with enterprise expansion experience, comfortable moving between technical analysis and high-level GTM decisions. A less obvious strength: he combines academic research rigor (published biomedical work) with practical market-launch chops, making him effective at translating data into scalable customer experiences.
code11 years of coding experience
job3 years of employment as a software developer
bookB.S.E. & B.S. Civil & Environmental Engineering + Economics, B.S.E. & B.S. Civil & Environmental Engineering + Economics at Duke University
bookJohns Hopkins University
languagesEnglish, Chinese, Spanish
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Github Skills (6)

html10
data-science10
r10
markdown-it9
markdown9
pandoc8

Programming languages (4)

RCSSJavaScriptHTML

Github contributions (5)

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Compiled Notes for all 9 courses in the Coursera Data Science Specialization
Role in this project:
userData Scientist
Contributions:31 commits, 22 PRs, 59 pushes in 11 months
Contributions summary:Xing's primary contribution focused on compiling and updating notes for the Coursera Data Science Specialization. Their commits involved adding and modifying HTML documents containing course materials, with specific changes indicating an effort to update and refine the content of notes related to specific courses. The user also updated file names and corrected course content.
data-science
Contributions:6 commits in 12 days
notespythonsciencedata-science-specializationspecialization
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