Rafael De Lima
Lead Data Scientist
Arvada, Colorado, United States
Summary
👤
Senior🎓
Top SchoolRafael De Lima is a Lead Data Scientist with eight years of experience applying machine learning and deep learning to geophysics and geospatial problems, holding a Ph.D. in Geophysics. He builds and deploys production-ready AI algorithms—especially CNNs—for mineral exploration and remote sensing, having cut feature engineering times from ~25 hours to under two minutes through optimized Python pipelines. His work spans industry and academia, from sea ice mapping with SAR imagery at the University of Colorado Boulder (helping secure over $400k in grants) to leading model strategy at VerAI Discoveries. Comfortable across PyTorch, scikit-learn, Rasterio, Xarray and multiple languages (Python, R, occasional Julia), he integrates large, diverse geoscience datasets into reliable, operational workflows. Based in Arvada, Colorado, Rafael blends domain expertise in geophysics with practical engineering rigor, often adapting computer vision techniques to tasks like core image and petrophysical analysis.
8 years of coding experience
12 years of employment as a software developer
University of São PauloDoctor of Philosophy - PhD, Geophysics and Seismology, Doctor of Philosophy - PhD, Geophysics and Seismology at University of Oklahoma
Portuguese, English
Github Skills (42)
bootstrapping10
forecasts10
data-access10
visualization9
matlab9
standardized9
mining9
colaboration8
predictive8
analytics8
atmospheric-modelling8
thin7
data-mining7
statistics7
github-pages7
Programming languages (3)
Github contributions (5)
weiqing1234/remote_sensing-transfer_learning
Aug 2019 - Dec 2019
Contributions:14 commits in 3 months
marcosbr/predictive-geology-maps
Sep 2021 - Aug 2022
Generate the predictive geology maps automatically to use in CPRM projects of anomaly charts.
Contributions:15 reviews, 100 commits, 26 PRs in 11 months
chartsanomalygeospatialgeologypredictive
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