Kyle Taylor
Head Of Data Science And AI
Fort Collins, Colorado, United States
Summary
👤
Senior🎓
Top SchoolKyle Taylor is a Head of Data Science and AI with 13 years of experience applying geospatial science, remote sensing, and machine learning to real-world environmental and agronomic problems. He builds cloud-native, production-grade pipelines and models—spanning Python, R, GDAL/OGR, Earth Engine, Spark, and AWS—to turn petabyte-scale imagery and field data into actionable insights. His career bridges government (USGS, USFS) and mission-driven NGOs to startups, giving him deep domain expertise in hydrology, habitat modeling, and crop/field trial design that asks "where" models typically miss. A pragmatic scientist-engineer, he favors simpler, well-calibrated models when they suffice and automates heavy workflows to deliver repeatable science. Based in Fort Collins, CO, he pairs hands-on coding and DevOps with mentoring and stakeholder communication to translate complex analytics into decisions for landowners and resource managers.
13 years of coding experience
7 years of employment as a software developer
Biology, Biology at University of MichiganMaster of Science (MSc) Botany (Ecosystem Modeling), Master of Science (MSc) Botany (Ecosystem Modeling) at University of WyomingBachelor of Science (BSc) Biology (Chemistry), Bachelor of Science (BSc) Biology (Chemistry) at Eastern Michigan University
Github Skills (76)
geopandas9
google-earth9
synchronization9
vector9
translator8
gdal8
peer-to-peer8
ggplot8
shapely8
luks8
filesystem8
raster8
earth-science7
text-based7
rasterio7
Programming languages (7)
Github contributions (5)
PLJV/Beatbox
Dec 2016 - Apr 2024
Pythonic workflows for spatial data using geopandas, google earth engine, and shapely in the cloud.
Contributions:15 PRs, 194 pushes, 1 branch in 7 years 4 months
shapelypythongeospatialspatialgoogle-earth-engine
PLJV/Surface-hydrology-dst
Dec 2017 - Feb 2019
Contributions:150 commits, 134 pushes, 1 branch in 1 year 2 months
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