Daniel Cunningham
Data Scientist
Washington DC-Baltimore Area United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Cunningham is a data scientist with six years of experience applying machine learning, remote sensing, and GIS to environmental and geospatial problems, currently driving analytics at Maxar Technologies. Trained with an MS in Geography and Environmental Systems and a BS in Environmental Science from UMBC, he blends strong programming in R and Python with practical field experience mapping vegetation and monitoring ecosystems for the National Park Service. He has taught introductory water science and supported weather and climate coursework, showing an ability to communicate technical concepts to diverse audiences. Detail-oriented and objective-driven, Daniel pairs rigorous scientific methods with hands-on geospatial workflows to turn satellite and sensor data into actionable environmental insights. An understated tenacity—hinted at by his self-deprecating GitHub bio—keeps him iterating on models until they work in the real world.
6 years of coding experience
1 year of employment as a software developer
UMBC
Github Skills (107)
forge10
conda-forge10
conda10
pystan10
smithy9
pymoo7
fairseq7
satellite6
pynput6
python6
classification6
computer-vision5
imagery5
geospatial5
semantic-segmentation5
Programming languages (5)
Github contributions (5)
d-cunningham/staged-recipes
Jun 2021 - Jul 2022
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Contributions:242 pushes, 29 branches in 1 year
placeconda-forgerecipescondapython
conda-forge/fastkml-feedstock
Mar 2020 - Jan 2022
A conda-smithy repository for fastkml.
Contributions:2 PRs, 1 push, 1 issue in 1 year 10 months
condasmithy
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