Gavin Peterkin is a data scientist in Seattle with 10 years’ experience applying mathematical and ML techniques to problems in experimental astronomy, economic consulting, e-commerce, and enterprise software. Trained in astronomy and astrophysics at Cornell and sharpened through a Data Science immersive at Galvanize, he blends scientific rigor with practical engineering—most comfortable in the Python data stack but also fluent in R, SQL, Spark, Java, and Scala. At ServiceNow and previously at VendorHawk he moved discovery automation and analytics toward production, while roles at ECONorthwest involved scalable toll optimization, spatial analysis, and cloud-ready refactors. He has a track record of turning messy, multi-source datasets into reproducible models and tools, including geocoding services and vectorized computation for large-scale simulations. Curious about applied math and ML research, he brings a research-minded approach to product-focused teams and often surfaces non-obvious signal through careful data engineering.
10 years of coding experience
2 years of employment as a software developer
Certificate, Data Science, Certificate, Data Science at Galvanize - Seattle, Pioneer Square
Bachelor’s Degree, Astronomy and Astrophysics, Bachelor’s Degree, Astronomy and Astrophysics at Cornell University
Contributions:52 pushes, 7 branches, 1 comment in 2 years 4 months
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