Gonzalo Dávalos
Principal Engineer & Consultant at Remanz
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolGonzalo Dávalos is a Principal Engineer and consultant with a decade of experience applying remote sensing and geospatial tools to improve water resources management. With a PhD from The University of Texas at Austin and senior technical roles at Esri, he designs interactive web applications and integrates global Earth observation datasets into operational workflows. He has moved between academia and industry—from lecturing and graduate research to leading GIS teams—giving him a rare blend of rigorous research methods and product-focused engineering. Based in Washington, D.C., Gonzalo is especially skilled at translating complex hydrologic science into usable decision-support tools for practitioners and policymakers. An early intern and long-term contributor within Esri’s hydrology efforts, he brings deep domain knowledge that helps bridge modeling, remote sensing, and web-based visualization.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Environmental and Water Resources Engineering, Doctor of Philosophy (PhD), Environmental and Water Resources Engineering at The University of Texas at AustinBachelor of Engineering (B.E.), Civil Engineering, Bachelor of Engineering (B.E.), Civil Engineering at Universidad Autónoma de Aguascalientes
English, Spanish
Github Skills (17)
software-design10
google-earth-engine10
water10
python-modules10
earth-engine10
retrieval9
python9
raster9
geospatial8
javascript8
time-series7
data-visualization6
accounting6
pixel5
scale4
Programming languages (3)
Github contributions (5)
gespinoza/davgis
Feb 2017 - Nov 2017
Contributions:26 commits, 25 pushes, 1 branch in 9 months
gespinoza/hants
Apr 2017 - Jan 2018
This repository is a python implementation of the Harmonic ANalysis of Time Series (HANTS) applied to geographic data. The python module can be used to perform the HANTS analysis to a collection of time-variable raster data at each pixel.
Contributions:3 releases, 33 commits, 4 PRs in 10 months
pythonpython-modulesrastertime-series
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