Maya Samet
Data Analyst, Infrastructure & Strategy
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolMaya Samet is a data analyst specializing in infrastructure and strategy with eight years of experience applying statistical science to enterprise and research problems in the San Francisco Bay Area. At Uber she drives data-informed decisions for infrastructure teams, building on prior roles that ranged from people analytics at Sonos to commercial product analytics at Carpe Data. Her background in academic fellowships and teaching—creating an R library for dataset citation and instructing bootcamp modules on big data, ML, and visualization—gives her a strong bridge between reproducible research and production analytics. She routinely works with SQL, Python, R, AWS, and visualization tools to turn messy data into actionable insights and automated pipelines. Maya’s experience improving survey methodology and automating reporting demonstrates a knack for combining statistical rigor with practical process improvements that increase impact. Based in the Bay Area, she blends research curiosity with product-oriented execution to support scalable data systems.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Applied Statistical Science, Bachelor of Science - BS, Applied Statistical Science at University of California, Santa Barbara
Github Skills (16)
adc6
python3
ecology3
doi3
data-repository3
citation3
testing3
data-science2
science2
metadata2
eml2
arctic2
open-data2
genomics1
deep-learning1
Programming languages (5)
Github contributions (5)
MayaSamet/CS1B-Foothill
Apr 2021 - Jul 2021
Contributions:52 pushes, 1 branch in 2 months
MayaSamet/Advent-of-Code
Feb 2020 - Jun 2020
Contributions:11 pushes, 1 branch in 4 months
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