Predicting Domestic Well Failure in California with Open Data & Machine Learning


Date
Dec 9, 2018
Location
American Geophysical Union
New Orleans, LA

🏆 Nationwide competition, runner-up ($1,000).

This research utilizes big geospatial timeseries data to model domestic well failure, and machine learning models coupled with climate change predictors to predict future vulnerability to well failure.

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Rich Pauloo, PhD
Hydrologist and data scientist

My interests include hydrogeology, data science and web technologies, 3D groundwater flow and contaminant transport simulation, building simple solutions to complex problems, and expedition behavior.