Brendan Collins
Founder And Principal at Parietal
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolBrendan Collins is a founder and principal with 12 years of experience specializing in data science and large-scale geospatial analytics, leading Makepath and advising through Parietal. He is a core open-source developer on projects like Datashader and Bokeh and created xarray-spatial, contributing performant raster analytics (slope, aspect, NDVI, zonal stats, and region connectivity) that support large geospatial workloads. Brendan has partnered with organizations such as NASA, The World Bank, and the Gates Foundation, translating complex spatial problems into production-ready tools and services. His background blends academic training in GIS and cartography with hands-on engineering at Anaconda and consulting engagements that span federal and international clients. An FAA sUAS-certified pilot and avid swimmer/biker/guitarist, he brings a field-ready perspective to remote sensing and terrain analysis that informs both his code and consulting.
13 years of coding experience
11 years of employment as a software developer
Master's Degree Geographic Information Science and Cartography, Master's Degree Geographic Information Science and Cartography at Penn State UniversityBachelor's Degree Latin American Studies / Environmental Policy, Bachelor's Degree Latin American Studies / Environmental Policy at Tulane University
English, Portuguese, Spanish
Github Skills (17)
data-visualizations10
rasterizer10
ras10
rasterize10
python10
raster10
data-science10
data-engineering10
xray10
data-visualisation10
spatial-analysis10
numpy10
rasterizing10
xa10
data-visualization10
Programming languages (11)
Github contributions (5)
xarray-contrib/xarray-spatial
Feb 2020 - Feb 2022
Spatial analysis algorithms for xarray implemented in numba
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:26 releases, 91 reviews, 236 commits in 2 years 1 month
Contributions summary:Brendan primarily focused on implementing spatial analytics tools for the xarray-spatial library. They added functionality including slope, aspect, ndvi, and zonal analysis using Python and likely leveraging libraries like Numba and NumPy for performance. The contributions also included the generation of terrain data and the creation of the spectral module, showcasing a focus on geospatial data processing. In addition, the user developed a regions tools to create connected regions.
numbaspatial-analysispythonraster-analysisxarray
holoviz/datashader
Feb 2017 - Jan 2021
Quickly and accurately render even the largest data.
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 release, 15 commits, 121 PRs in 4 years
Contributions summary:Brendan primarily contributed to the core functionality of the datashader library. Their work included fixing a bug related to handling null values in tile rendering, and implementing new features such as a tile previewer utility function and a viewshed spatial function. Additionally, the user added a zonal statistics function along with corresponding unit tests. They also made improvements to gradient calculations within the viewshed implementation, as well as adding geo properties to dataarrays.
renderrasterizationdata-visualizationsdatashaderholoviz
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