About Me
My name is Guillermo D'Angelo. I help organizations turn geographic data into decisions, from national statistics to custom web maps, with Python, open-source GIS and AI. I'm a Geographer, geospatial developer & Head of Geomatics at Uruguay’s National Statistics Institute.
What I do
- Spatial data engineering: PostGIS/Postgres pipelines, reproducible ETL, Dockerized deployments
- Geospatial analysis in Python: statistics at national scale, census and survey geography
- Web mapping: interactive maps and data portals
- Open-source GIS: QGIS workflows, tooling and automation for teams
My stack
- Analyze: Python, SQL, QGIS, ArcGIS Pro
- Store: Postgres + PostGIS
- Publish: Leaflet, JavaScript/CSS, Docker
- Collaborate: Git
- AI-assisted workflow: Claude & DeepSeek
What I'm exploring now
- Using LLMs to clean and geocode messy addresses
- Agentic geospatial processes
- Open data for official statistics
I’ve worked with geographic information since 2010, building spatial data systems and, as a freelancer, custom maps and pipelines for other organizations. I combine deep expertise in the geospatial industry, open-source tools and, increasingly, AI, to make spatial analysis faster and more reliable.
Do you need my help in your poject? Send me an email and we can chat about it.
Have a look at my CV: