Maria Castillo

I’m an Earth Science student focused on GIS, spatial data analysis, and remote sensing applications for environmental systems. I build structured spatial workflows and work with geospatial datasets using Python and SQL to turn complex environmental data into clear, actionable insights.

Through projects, I’ve analyzed long-term climate signals and their land-use implications by building a SQL pipeline in BigQuery using 25 years of meteorological data. I also mapped seismic risk zones with USGS datasets and produced structured summaries to support land safety and planning decisions.

I’m especially excited by remote sensing validation and environmental field research—applying methods such as Sentinel-2 spectral index processing (NDSI), DEM-based terrain modeling, and raster preprocessing in SNAP. I’ve developed interactive GIS and visualization outputs (Python & Folium, Power BI/Looker Studio) for flood risk, snow cover, and air-quality spatial interpretation, with the goal of improving ecological monitoring, land-use change analysis, and coastal ecosystem assessment.