Elaine Yang
Senior Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolElaine Yang is a Senior Data Scientist and meteorological software engineer with a decade of experience building production-grade climate and weather systems for organizations like Jupiter Intelligence, The Weather Company, and Weather Underground. She has led the design and implementation of industry-leading forecasting products—most notably Weather Underground’s BestForecast™—combining meteorology, statistical modeling, and modern machine learning to produce global, operational forecasts. Her work spans data ingestion, quality control, IoT and sensor integration, and automated alerting pipelines, with proven impact scaling networks of personal weather stations and operational forecast-on-demand platforms. Based in San Francisco, Elaine pairs a BS in Meteorology/Math with nanodegrees in Data Science and Deep Learning, bringing both domain expertise and hands-on ML engineering to climate-risk and utility-focused analytics. An uncommon strength is her track record of converting diverse, messy weather data sources (METAR, MADIS, government feeds) into reliable, consumable products used at scale.
8 years of coding experience
18 years of employment as a software developer
Bachelor of Science - BS Meteorology/Math, Bachelor of Science - BS Meteorology/Math at University of Wisconsin-MadisonNanodegree Data Scientist, Nanodegree Data Scientist at Udacity
Github Skills (3)
flask4
api4
python3
Github contributions (4)
weatherdivagit/WeatherServer
Feb 2018 - Mar 2018
Contributions:40 commits, 4 PRs, 35 pushes in 1 month
apiflaskpython
weatherdivagit/Deep-Learning
Mar 2018 - Jun 2018
Contributions:3 pushes, 1 branch in 2 months
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