Geospatial data scientist
Spatial analysis, OCR, machine learning, and optimization grounded in operational questions.
About
Research informed.
Built for use.
I work across the boundaries of geospatial analysis, data engineering, and software development.
From data to decisions
My work connects operational records, spatial networks, and public-facing applications. At the City of Lewisville, I develop and maintain GIS tools, automate data delivery, and use spatial analysis to support infrastructure and community planning.
Through independent consulting, I engineered automated inspection-data workflows for an electric utility. My PhD research at UT Dallas focused on spatial optimization and multiple-target access using integer programming.
What I bring
Geospatial data engineer
Spatial ETL, database refreshes, data quality, and enterprise GIS integration.
Geospatial software engineer
Public web maps, geospatial applications, APIs, and tools that make GIS usable.
Technical foundation
- Programming
- Python, SQL, JavaScript, R, C#, .NET, Arcade
- Spatial systems
- ArcGIS Enterprise and Online, ArcPy, QGIS, PostgreSQL/PostGIS, pgRouting
- Data pipelines
- FME, GDAL, Selenium, pandas, GeoPandas, rasterio
- Analysis and modeling
- Spatial statistics, scikit-learn, integer programming, heuristics, remote sensing
Education
- PhD, Geospatial Information Sciences, The University of Texas at Dallas, May 2024
- MS, Geospatial Information Sciences, The University of Texas at Dallas, December 2019
- BS, Computer Engineering, Erciyes University, July 2013