A b o u t - M e

I’m a Geospatial Data Scientist with a strong blend of GIS, remote sensing, and data science to turn location into actionable insights. I design end-to-end, scalable workflows that ingest, clean, model, and visualize geospatial data from land-use analytics and urban planning to environmental monitoring and mobility optimization. My toolkit spans Python (GeoPandas, Rasterio, Shapely), R, PostGIS, QGIS/ArcGIS, and cloud-based data engineering, ensuring reproducible pipelines and clear communication of results to both technical and non-technical stakeholders.
I differentiate myself through end-to-end ownership, pragmatic problem-solving, and a communicative, collaborative approach. I focus on translating business questions into measurable geospatial analyses that inform strategy, optimize operations, and unlock new location-based opportunities. Current focus areas include urban analytics, hydrology, environmental monitoring, mobility and logistics, and satellite imagery time-series. I’m open to collaboration, consulting, and roles that push the boundaries of geospatial data science.