Samuel Araya
Data Scientist
Texas, United States
Summary
👤
Senior🎓
Top SchoolSamuel Araya is a data scientist with a decade of experience applying machine learning, geospatial analytics, and remote sensing to environmental and agricultural problems. He holds a PhD in soil physics and an MS in soil biogeochemistry, and has translated that research expertise into applied roles at Stanford, USDA, and currently Corteva Agriscience. Samuel specializes in soil and landscape-scale spatial modeling, predictive analytics, and mapping of contaminants and soil properties, combining Python and R workflows with remote sensing data. He brings both academic rigor and operational experience developing and maintaining soil geospatial datasets for large organizations, and has a history of teaching and program management that sharpens his communication and project delivery. An uncommon strength is his ability to bridge field-scale soil science with scalable data products that inform agricultural decision-making.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BSc), Land Resources and Environment, Bachelor of Science (BSc), Land Resources and Environment at University of Asmara, EritreaMaster of Science (M.S.), Environmental Systems (Soil Biogeochemistry), Master of Science (M.S.), Environmental Systems (Soil Biogeochemistry) at University of California, Merced
English, Tigrinya, Amharic
Stackoverflow
134reputation
80kreached
4answers
0questions
Github Skills (29)
markdown7
random-forest6
vscode6
transpose6
regression6
pyright6
dplyr6
machine-learning6
python-typing6
python6
visual-studio-code6
r-package6
r6
knowledge-management5
caret5
Programming languages (4)
Github contributions (5)
saraya209/soil_ksat
Apr 2019 - Jan 2021
Contributions:26 commits, 37 pushes in 1 year 9 months
saraya209/uas-soil-moisture
May 2021 - May 2022
Contributions:1 release, 6 pushes, 1 branch in 1 year
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