Physicist → data, ML & geospatial · Liège, Belgium 🇧🇪
I turn industrial, energy and spatial data into pipelines, forecasts, maps and dashboards.
Data Analyst · Data Scientist · Data Engineer · GIS Analyst
Background in physics (optics / photonics). Day-to-day work is physical systems with messy data: electricity grids, buildings, land use, sensor streams.
One background, four entry points. Open the page that matches the role you are hiring for.
| Role | Page | Evidence you will find |
|---|---|---|
| Data analyst / BI | Data Analyst | SQL, Walloon open data, decision KPIs |
| Data scientist / ML | Data Scientist | Physics-informed ML, Bayesian stats, computer vision |
| Data engineer | Data Engineer | API ingestion, Docker, AWS serving — no dedicated DE repo yet |
| GIS / geospatial analyst | GIS Analyst | QGIS, PostGIS, FME, Earth Engine |
Project name → write-up. Specialty column → role page. Shared projects appear on more than one page.
Longer-term (not portfolio-ready): multi-party agreement search (Nash); LLM tooling for Raspberry Pi accessibility devices.
Role-level detail is on each specialty page. Not listed: Spark, TensorFlow, LangChain — they are not what these projects prove.
Languages
Data & analytics
Machine learning
Geospatial
Engineering
pro.dimitrimarchand@gmail.com · Liège, Belgium