Jeremy Tan
Graduate Teaching Assistant
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolJeremy Tan is a data scientist and software engineer with nine years of experience bridging research and applied engineering in the San Francisco Bay Area. Currently a Graduate Teaching Assistant and Research Assistant at Duke University, he teaches cloud-scale data engineering and conducts research informed by NLP and financial time series work. His background includes hands-on roles in computer vision and tech-for-good research at UC Santa Cruz, industry software engineering at Tata Consultancy Services, and ITS business analysis, giving him a rare mix of academic rigor and production experience. Jeremy is comfortable moving models from prototype to cloud-scale classrooms and labs, and he mentors students on practical data workflows. He maintains an active interest in NLP and time series modeling—skills he cultivates through teaching and research rather than only open-source visibility. Colleagues describe him as a pragmatic problem-solver who translates complex data problems into reproducible, teachable solutions.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at Duke UniversityUniversity of California Santa Cruz
Github Skills (149)
dataflow10
python10
trading10
trading-bot10
statistics10
paper10
forex10
algorithm10
stock-data10
data-science10
finance10
data-analysis10
trading-algorithms10
machine-learning10
algorithmic-trading10
Programming languages (6)
Github contributions (5)
jeremytanjianle/Bayesian-Regression-on-Copper
Jul 2018 - Oct 2018
Contributions:20 commits, 16 pushes, 1 branch in 3 months
jeremytanjianle/jeremytanjianle
Jan 2022 - Jan 2024
Contributions:20 pushes, 1 branch in 2 years
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