Jeremy Castle
Machine Learning Engineer
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolJeremy Castle is a machine learning engineer and economist with nine years of multidisciplinary experience applying data-driven methods to environmental conservation and resource management. Grounded in a B.S. in Environmental & Resource Economics and graduate coursework in natural resource economics, he blends statistical analysis with practical project and portfolio management—skills sharpened running a real estate investment firm and managing large residential properties. He has hands-on analytics experience forecasting $70M+ in surgical instrument demand and assessing economic impacts for NOAA, translating domain data into actionable insights. Comfortable bridging research and operations, Jeremy pairs machine learning tools with economic reasoning to support conservation-focused decision making. Based in Washington, D.C., he brings a rare combination of field-oriented ecology training and commercial project leadership that helps move environmental research from models to measurable outcomes.
9 years of coding experience
15 years of employment as a software developer
B.S., Environmental & Resource Economics, B.S., Environmental & Resource Economics at Penn State UniversityWildlife Ecology, Wildlife Ecology at Oregon State UniversityThe University of Maryland, College Park
English
Github Skills (10)
data-set5
image-data5
prediction4
python3
machine-learning3
wandb3
pytorch2
fastai2
deep-learning2
finance2
Programming languages (1)
Github contributions (5)
JeremyCastle/NABirds
Jan 2019 - Sep 2019
FastAI Deep Learning Research with Cornell Lab of Ornithology North American bird image data set
Contributions:34 commits, 29 pushes, 1 branch in 7 months
pytorchpythondata-setdeep-learningnorth
JeremyCastle/numerai
Nov 2016 - Jun 2017
Contributions:4 PRs, 20 pushes, 2 branches in 6 months
stock-marketpythonfundpredictionnumerai
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