Shawn Taylor
Senior GIS Analyst at Cargill
United States
Summary
👤
Senior🎓
Top SchoolShawn Taylor is a Senior GIS Analyst and ecologist with a decade of experience applying scientific programming and high-performance computing to large-scale ecological forecasting, remote sensing, and phenology of dryland systems. After earning a PhD at the University of Florida and a postdoc at the USDA-ARS Jornada Experimental Range, he has translated and productionized ecological models (Fortran to Python), built automated phenology forecast pipelines, and deployed satellite imagery workflows for global agricultural monitoring at Cargill. He combines hands-on skills in R, Python, cloud automation, and ArcGIS Enterprise with domain expertise in Western U.S. plant communities—especially grasses—and practical field experience from the Forest Service, BLM, and ARS. An active contributor to open-source documentation practices, he has improved usability for widely used data tools like the Retriever, reflecting a focus on reproducible science and accessible data products.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Ecology, Bachelor's degree, Ecology at University of IdahoPhD, Ecology, PhD, Ecology at University of Florida
Github Skills (9)
rs10
documentation10
price-data9
data-model9
data-set9
python3
fest3
datasets3
data-science3
Programming languages (8)
Github contributions (5)
weecology/retriever
Jan 2017 - Oct 2018
Quickly download, clean up, and install public datasets into a database management system
Role in this project:
Technical Writer
Technical WriterContributions:7 commits, 1 PR, 8 comments in 1 year 9 months
Contributions summary:Shawn primarily contributed to the documentation of the `retriever` repository. Their changes focused on updating the user guide, moving content within the documentation structure, and renaming sections for clarity. They also revised the index pages and API references to improve organization and usability of the project's documentation.
management-systemdata-retrievalpythondatadata-science
sdtaylor/pyPhenology
Dec 2017 - Dec 2022
Plant phenology models in python with a scikit-learn inspired API
Contributions:4 releases, 177 commits, 136 PRs in 5 years
plantapipythonscienceplants
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