Ross Winans
Geospatial Data Scientist
Hilton Head Island, South Carolina, United States
Summary
👤
Senior🎓
Top SchoolRoss Winans is a geospatial data scientist with 11 years of experience turning complex spatial data—from satellite and LIDAR to UAS and bathymetry—into actionable maps and environmental insights. Currently at NV5 Geospatial and co-founder of ORBTL AI, he blends machine learning with practical geospatial engineering to build products that make mapping faster and more usable. His career includes leading multi-million-dollar, cross-sector projects to deliver first-of-its-kind topobathymetric datasets across US Pacific Islands and acting as a NOAA regional liaison, demonstrating both technical depth and partnership-building acumen. Ross pairs formal training in geography and environmental science with hands-on skills in Python automation, cloud geospatial workflows, and science communication, and he has a track record of mentoring the next generation of geospatial professionals. An island-focused perspective and experience predicting infrastructure failure modes reveal a pragmatic, regionally informed approach to solving coastal and environmental challenges.
11 years of coding experience
4 years of employment as a software developer
Supplemental coursework, Mathematics, Supplemental coursework, Mathematics at Honolulu Community CollegeHigh School dual-enrollment credit, Computer Engineering, High School dual-enrollment credit, Computer Engineering at Technical College of the LowcountryBachelor of Arts - BA, Geography, GIS, and Remote Sensing, Bachelor of Arts - BA, Geography, GIS, and Remote Sensing at University of South CarolinaMaster of Arts - MA, Geography and Environment, Master of Arts - MA, Geography and Environment at University of Hawaii at Manoa
English, Spanish
Github Skills (15)
marine7
confusion-matrix7
preprocess6
geospatial5
gis5
machine-learning4
backend4
satellite3
artificial-intelligence3
object-detection3
imagery3
tensorflow3
ai2
rasterio2
deep-learning2
Programming languages (2)
Github contributions (5)
rosswin/mapping_marine_debris
Oct 2019 - Feb 2021
Scripts used to preprocess the 2015 DAR Aerial Imagery for use in deep learning.
Contributions:12 PRs, 28 pushes, 6 branches in 1 year 4 months
deep-learningpreprocess
rosswin/lidar_svm
Feb 2018 - Jan 2020
Contributions:19 pushes, 1 branch in 1 year 11 months
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