Geography & Geoinformatics graduate (Bangalore University) working in remote sensing, GIS-based spatial analysis, and supervised classification — built on Google Earth Engine, QGIS, ArcGIS Pro, and Python.
Currently seeking geospatial/remote sensing roles in Bengaluru, starting August 2026.
Internship at KSRSAC (Govt. of Karnataka) — Sentinel-2 LULC classification (Random Forest, SVM, Minimum Distance) with full accuracy assessment across Mysuru District.
- ✅ Bengaluru LULC Change Detection — Sentinel-2 classification & change detection, 2018 vs 2021, built end-to-end via Python/Earth Engine API
- 📊 Geospatial Portfolio — NDVI-LST regression analysis, spatial autocorrelation (Moran's I), and additional planned projects
GIS & Remote Sensing: ArcGIS Pro, QGIS, Google Earth Engine, ERDAS Imagine Programming: Python (geemap, GeoPandas, Rasterio, Earth Engine API), JavaScript (GEE) Analysis: Supervised classification, accuracy assessment, spatial regression, spatial autocorrelation