Marija Ercegovac

Senior Geospatial Analyst at Rockup, building neighborhood analytics tools. Previously Geospatial Researcher (R&D) at Habidatum, developing cross-country urban mobility pipelines for European policy institutions — OD matrices, temporal land-use profiling, service accessibility mapping across 16 countries. Former geospatial data scientist at Yandex, where I built GeoAI prediction models and led spatial feature engineering for service expansion. Invited lecturer on geospatial data science (MIPT Deep Learning School) and QGIS (RheinMain University, Germany). Jury member at IAAC Barcelona. Daily tools: Python, GeoPandas, PostGIS, QGIS. Admitted to MSc Geomatics at TU Delft. I run URBAN_MASH, a geoanalytics community (2,200+ subscribers).


Session

09-02
13:45
5min
50 Lines of Python: Neighborhood DNA from Overture Maps Places
Marija Ercegovac

verture Maps Places offers 53 million POIs with a clean taxonomy — but what can you actually do with them? In 50 lines of Python and DuckDB, I turn raw Overture places into a visual neighborhood typology. Before/after, pipeline, and a ready-to-run notebook.

Lightning Talk
Ran1