Sandra Villamar
Solar Data Scientist
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolSandra Villamar is a Solar Data Scientist with a decade of experience applying mathematical rigor and machine learning to solar energy and climate challenges. Currently at Power Factors, she designs predictive models and analytics tools that improve AC yield estimation, module degradation forecasting, and operational data quality for utility-scale plants. Her background blends an MS in Machine Learning and Data Science with hands-on experience translating climate and time-series models between R and Python, building interactive dashboards and Streamlit apps, and deploying neural networks for soiling forecasts. Comfortable across Python, R, MATLAB, SQL and cloud-integrated analytics, she pairs strong statistical foundations with practical engineering workflows and versioned GitHub repositories. Outside work she values work/life balance and channels curiosity and perseverance into activities from kickboxing to hunting down the best local coffee.
10 years of coding experience
1 year of employment as a software developer
University of California, San DiegoM.S. in Machine Learning and Data Science, M.S. in Machine Learning and Data Science at UC San Diego Jacobs School of Engineering
German, Spanish, English
Github Skills (7)
electrical-engineering3
renewable-energy3
solar-energy3
photovoltaic3
power-systems3
energy3
python2
Programming languages (1)
Github contributions (5)
SandraVillamar/Markovian-Bus-Model
Dec 2020 - Dec 2022
Contributions:4 commits, 3 pushes, 1 branch in 2 years
SandraVillamar/COVID-19-Lockdown-Affects-Air-Quality-in-LA
Jun 2020 - Dec 2021
Contributions:4 pushes, 2 branches in 1 year 6 months
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