Sam Chamberlain
Machine Learning Engineer at Cash App
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolSam Chamberlain is a machine learning engineer with 11 years of experience building spatiotemporal and health-focused data products that scale for public use. Currently at Cash App and formerly the technical lead for data science at Kinsa, he has shipped county-level, real-time illness incidence products and automated forecasting pipelines used in B2B inventory forecasting and public COVID-19 tracking. He blends epidemiological domain knowledge with ML and time-series methods to deliver actionable forecasts and anomaly detection from large geospatial sensor networks. Sam excels at rapid iteration under tight deadlines, preferring minimal, interpretable complexity to produce intuitive results for diverse stakeholders. His academic background (PhD in Ecology & Evolutionary Biology) and postdoctoral work on greenhouse gas monitoring give him rare depth in environmental time-series analysis and causal inference. Based in Los Angeles, he brings cross-functional leadership and a track record of turning complex sensor data into business- and public-health-facing insights.
11 years of coding experience
4 years of employment as a software developer
B.A, Biology, B.A, Biology at Reed CollegePh.D, Ecology & Evolutionary Biology, Ph.D, Ecology & Evolutionary Biology at Cornell University
Github Skills (14)
pipeline9
python9
automation9
infrastructure9
observability8
orchestration8
data-science8
prefect8
dataflow8
data-engineering7
workflow-engine7
machine-learning3
reproducible-research3
anomaly-detection3
Programming languages (1)
Github contributions (5)
samdchamberlain/HealthyHomes_Insight
Sep 2018 - Mar 2020
Contributions:42 commits, 9 pushes in 1 year 5 months
samdchamberlain/salinity_study
Mar 2018 - Apr 2019
Contributions:30 commits, 27 pushes, 1 branch in 1 year 1 month
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