Cal Lee
Data Scientist
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolCal Lee is a data scientist with a decade of experience building ML-driven products at the intersection of data and climate, currently applying his skills at OPEN Technologies in Vancouver. He has led end-to-end work from Bayesian forecasting in supply-chain pricing to cloud-native energy simulation APIs and AI-powered building energy audits. Cal’s background spans utilities, agriculture, and infrastructure — shipping production geospatial and text models for risk detection and scaling 20+ integrated models at Urbint. He combines rigorous academic training (M.S. Mathematics and Statistics, Georgetown) with pragmatic product ownership, translating domain science into usable features and measurable savings. Notably, he has repeatedly entered new domains quickly—learning the science behind crops, buildings, and power systems to define product-market fit. Colleagues would describe him as a globally minded technologist who makes complex models operational and business-relevant.
10 years of coding experience
6 years of employment as a software developer
M.S Mathematics and Statistics, M.S Mathematics and Statistics at Georgetown UniversityThe Roxbury Latin School
English, Chinese, Chinese, French, Spanish
Stackoverflow
72reputation
5kreached
10answers
5questions
Github Skills (13)
pandas6
azure6
azure-web-app-service6
ggplot6
python6
annotations6
r6
ruby6
ruby-on-rails6
google-sheets4
cran4
api3
spreadsheet2
Programming languages (2)
Github contributions (5)
cal65/Cities
Aug 2016 - Feb 2017
Contributions:88 commits, 41 pushes, 1 branch in 5 months
cal65/Novelty
Aug 2021 - Mar 2025
Building a website to allow users to gain insights into their own data.
Contributions:4 reviews, 50 PRs, 551 pushes in 3 years 7 months
insightsgain
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