Rheinbach Kommunale Wärmeplanung
Rheinbach · 2026GOAT dashboard for municipal heat planning in Rheinbach, NRW — building-level heat demand, gas dependency and heat pump suitability from LANUV open data.
GIS Analyst · Spatial Data & Mobility · Munich, Germany
I build accessibility and walkability analyses, process GTFS and open geodata, and produce network-based indicators and geoprocessing pipelines using QGIS, GOAT, PostGIS, Python and GDAL, translating complex spatial data into stakeholder-ready maps and reports for mobility and planning projects.
I am a GIS Analyst based in Munich with experience in spatial data processing, cartography, GTFS analysis, accessibility and mobility studies. I currently work at Plan4Better GmbH, where I support mobility and planning projects using network-based indicators, isochrones, catchments and geospatial data pipelines.
My technical work spans QGIS, PostgreSQL/PostGIS, GDAL/OGR and Python-based geoprocessing (GeoPandas, Pandas, Shapely, Folium), including GTFS feed processing, API-based data collection, location-allocation modelling and reproducible spatial analysis workflows. I am also completing an MSc in Transport Engineering and Mobility at RWTH Aachen University.
QGIS, cartography, spatial analysis, georeferencing, digitising, joins & geoprocessing; isochrones, catchments and accessibility indicators.
PostgreSQL/PostGIS; spatial data preparation, integration, data quality checks and reproducible geospatial data pipelines.
Python for spatial analytics and automation — GeoPandas, Pandas, Shapely and GDAL/OGR for data processing and reporting.
GTFS feed parsing and processing, transit stop visualisation, service frequency analysis, shortest-path routing and wheelchair accessibility mapping.
Walkability, intersection density and accessibility analysis, network-based mobility indicators, isochrones, catchments and public transport coverage.
Map production for planning studies, technical report writing, municipal and regional stakeholder communication.
HTML, CSS and JavaScript projects deployed from GitHub using Netlify for live web publishing and portfolio demos.
Introduction to QGIS, Advanced QGIS, PyQGIS Masterclass, Python Foundation for Spatial Analysis, Mastering GDAL Tools — all via Spatial Thoughts.
GOAT dashboard for municipal heat planning in Rheinbach, NRW — building-level heat demand, gas dependency and heat pump suitability from LANUV open data.
Building-level walking-distance access to 1,049 public EV chargers across Hannover — 92% within 10 minutes, 6,686 buildings outside walking range entirely.
Network-based walking catchments, land surface temperature and population data combined in GOAT to identify 299 priority zones for new public drinking water infrastructure.
Multicriteria spatial analysis identifying transit-accessible, housing-adjacent farmland parcels in Schwabach, Bavaria using ALKIS, GTFS and OSM open data in GOAT.
Dashboard combining rental cost data with public transport accessibility indicators for Munich neighbourhoods.
H3 hexagon grid map of walking accessibility to supermarkets across Cologne using the Closest Average indicator in GOAT.
Interactive GOAT dashboard analysing walking-time access to public charging stations across Rhein-Neckar-Kreis, segmented by charger type and housing type.
QGIS-based walkability index for Cape Town, developed for the Mobility Research and Transport Modelling course at RWTH Aachen.
Intersection density analysis for Melbourne using pedestrian network and CLUE land use data from the Melbourne Open Data Platform.
Collection of maps produced for the #30DayMapChallenge across 2023 and 2025 — diverse themes, techniques and geographies.
For roles and collaborations in GIS, mobility analytics and planning support.