
Water Resources and Environmental Engineer with strong expertise in Earth observation, GIS, and geospatial data analytics. Skilled in applying remote sensing, hydrological models, and Python/R to analyze climate variability and environmental patterns. Interested in contributing to sustainable water and climate-resilient solutions.
Programming for Geospatial & Spatial Analytics:Python, R (geospatial data processing, spatial analysis, remote sensing analytics), JavaScript (Web Mapping)
GIS, Remote Sensing & EO Tools:ArcGIS, QGIS, Google Earth Engine, SNAP, ERDAS Imagine, ILWIS
Geospatial Terrain Processing:Terrain modeling (DEM, DSM, DTM), LiDAR point-cloud processing (LAZ), spatial interpolation, terrain slope and hazard analysis; tools: GDAL, Rasterio, Laspy, NumPy, SciPy, Matplotlib
Hydrological Modelling:SWAT, HBV
Analytical Skills:Data Cleaning, Exploratory Data Analysis (EDA), Statistical Analysis