Tyler Nigon
Senior Data Scientist
Minneapolis, Minnesota, United States
Summary
👤
Senior🎓
Top SchoolTyler Nigon is a Senior Data Scientist with a decade of experience applying GIS, remote sensing, and machine learning to real-world agricultural problems, currently advancing precision agronomy at Corteva Agriscience. He blends rigorous academic training (PhD/MS in Land and Atmospheric Science) with hands-on farm experience managing a family dairy and cropland, giving his research practical grounding and an eye for farmer-facing solutions. Tyler has led geospatial ML productization as CTO of Insight Sensing, won an NSF STTR award, and steered applied science teams at Sentera to deliver operational agronomic KPIs. His work focuses on soil fertility, nutrient management, and reducing nonpoint source pollution by making the 4Rs of nutrient stewardship easier and more actionable. Notably, his dissertation and early research translated drone hyperspectral imagery into decision-ready nitrogen management guidance, bridging experimental design, field trials, and commercial tooling. Based in Minneapolis, he pairs domain-first curiosity with product-minded engineering to help growers balance economic, environmental, and social outcomes.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD Land and Atmospheric Science, Doctor of Philosophy - PhD Land and Atmospheric Science at University of MinnesotaBachelor of Science Soil & Land Management GIS & Spatial Analysis, Bachelor of Science Soil & Land Management GIS & Spatial Analysis at University of Wisconsin-Stevens Point
Stackoverflow
147reputation
63kreached
2answers
2questions
Github Skills (71)
forge10
conda-forge10
conda10
rates9
nitrogen9
imagery8
rasterio7
python7
smithy7
gis7
dimensions7
gdal6
bash6
pandas6
floating-point6
Programming languages (3)
Github contributions (5)
tnigon/eonr
Feb 2019 - Aug 2021
A tool for calculating economic optimum nitrogen rates
Contributions:104 commits, 2 PRs, 83 pushes in 2 years 6 months
pythoneconomicratesnitrogenoptimum
tnigon/LIDAR_Project
Dec 2015 - Dec 2015
Contributions:83 PRs, 82 pushes, 6 branches in 13 days
predictmachine-learningvariabilitylidar-datafields
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