Tammy Lee
General Manager Of Airports, Events & Venues, And Scheduled Rides at Lyft
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTammy Lee is a data-driven leader with 11+ years of experience translating advanced analytics into business impact, currently overseeing Airports, Events & Venues, and Scheduled Rides at Lyft. She progressed through senior data science and management roles at Lyft after four years as a quantitative data scientist at Allstate, building models for fraud, pricing, telematics, and agent placement. A former educator and curriculum leader at Galvanize, Tammy blends rigorous statistical training (Harvard MS, Stanford certificate, UC Berkeley BA/BS) with clear communication and pedagogy, which she leverages to scale high-performing teams and mentor next-generation data scientists. Known for applying creative, business-first thinking to operational problems, she has a track record of growing teams, owning P&L, and deploying experimentation and decision frameworks across markets. Outside product roles she advises data curriculum startups and mentors, signaling a durable commitment to building data literacy as well as robust analytics systems.
11 years of coding experience
12 years of employment as a software developer
B.A. & B.S. Statistics Business Administration, B.A. & B.S. Statistics Business Administration at University of California, BerkeleyMaster's degree Statistics, Master's degree Statistics at Harvard UniversityData Mining and Applications Graduate Certificate, Data Mining and Applications Graduate Certificate at Stanford University
Chinese
Github Skills (18)
git10
algorithms10
javascript10
chatgpt10
python10
data-science10
css10
linux10
java10
security10
sql10
ai10
blockchain10
html10
computer-science10
Github contributions (5)
tammyclee/standards
Nov 2017 - Nov 2017
Contributions:4 pushes in 3 days
jonathan-bower/data-science-primer
Mar 2017 - Mar 2017
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
Contributions:2 commits in 1 day
data-science
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