GIS Specialist — Spatial Analysis and Map Creation

I'm a GIS specialist helping businesses, researchers, and planners understand what and where things are happening on the ground. My core work is geospatial analysis and cartography: I take scattered address lists, field survey points, satellite data layers, or open government datasets and transform them into structured, correctly projected spatial data you can actually work with. If you need to assess site suitability, build service areas and travel-time isochrones, perform density analysis and hotspot identification, or overlay demographic and infrastructure layers—I build the entire process from start to finish and document every step so results can be reproduced, not delivered as a one-time black box.

I work daily in QGIS and ArcGIS, use PostGIS for large datasets, and Python (GeoPandas, Shapely) for automation when tasks repeat or grow beyond the point where clicking by hand makes sense. I pay special attention to subtle but critical details: choosing the right coordinate system, cleaning and validating geometries, forward and reverse geocoding, linking tabular attributes to features, and reconciling data arriving in a dozen incompatible formats. My cartography is made for reading, not just admiring: thoughtful symbolism, honest classification intervals, legible labels, and layouts that look equally good in print and on screen.

Every project starts with a short conversation about what decision your map or analysis should support, because that determines scale, projection, and which layers matter. You get a finished map or dataset, project files, and clear explanation of assumptions and limits so your team can trust the result and build on it.

— Cartography and spatial analysis in QGIS and ArcGIS
— Geocoding, reverse geocoding, and address cleaning
— PostGIS databases and spatial SQL queries
— Python automation with GeoPandas and Shapely
— Print-ready cartography and layouts
— Conversion between Shapefile, GeoJSON, KML, and GeoTIFF