Summary
Ellie White is a Water Resources Data Scientist with 10 years of experience building predictive models and scalable data pipelines to support water management and infrastructure planning. She blends advanced statistical and machine learning techniques (R/Python, random forests, LSTM, TensorFlow) with geospatial analytics to turn complex, multi-source environmental data into actionable policy and operational insights. Her work at USGS, EPA ORISE, and California water agencies informed minimum in-stream flow decisions and improved hydrologic modeling used by regulators and planners. Skilled in reproducible, production-ready workflows—version control, containerization, pipelining, and cloud tools—she leads teams that prioritize scientific integrity and clear communication for diverse audiences. Based in Owensboro, Kentucky, she pairs a PhD in Hydrology from UC Davis with hands-on engineering roots, and maintains an active GitHub portfolio showcasing practical tools for water-data science. An understated strength is her ability to translate highly technical analyses into progressive-disclosure outputs that decision makers can immediately use.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Hydrology and Water Resources Science, 4.0, Doctor of Philosophy (Ph.D.), Hydrology and Water Resources Science, 4.0 at University of California, Davis
Civil Engineering-Structural, Civil Engineering-Structural at University of Science & Culture
Bachelor’s Degree, Civil Engineering, Bachelor’s Degree, Civil Engineering at University of Kentucky
Civil Engineering-Urban Design, Civil Engineering-Urban Design at University of Toronto
English, Persian