As an independent Geospatial & GIS Analyst, I designed a multi-criteria spatial vulnerability index combining socio-economic and territorial indicators to evaluate urban energy poverty risks. I also automated satellite imagery workflows to monitor urban green spaces and vegetation dynamics using multispectral bands.
I built reusable QGIS and ArcGIS Pro processing pipelines with Python for automated vector and raster manipulation, reducing manual processing bottlenecks. My work focuses on turning complex spatial data into asset-level climate risk intelligence, including support for sustainability certifications such as LEED and BREEAM.
