I am a Geoinformatics postgraduate with experience in satellite remote sensing, geospatial analysis, hydrological applications, machine learning and InSAR deformation monitoring.
- Remote Sensing and GIS
- Hydrology and Water Resources
- SAR and InSAR Analysis
- River Morphology and Sediment Dynamics
- Machine Learning for Geospatial Applications
- Geospatial Data Validation and Boundary Analysis
GIS and Remote Sensing: QGIS, ArcGIS Pro, Google Earth Engine, ESA SNAP, ERDAS Imagine
Programming: Python, SQL
Python Libraries: Pandas, GeoPandas, Rasterio, Shapely, Scikit-learn, Matplotlib
Specialised Tools: MintPy, StaMPS, MATLAB, GeoServer
Data: Sentinel-1, Sentinel-2, Landsat and DEM datasets
Implemented and documented a Sentinel-1 PSInSAR workflow using ESA SNAP and StaMPS for infrastructure-monitoring applications. The repository includes workflow documentation, troubleshooting analysis, interferometric outputs and a Python notebook for raster-stack quality control.
- Geospatial validation of rural water-supply datasets
- Administrative boundary and coverage-gap analysis
- Sentinel-1 PSInSAR workflow implementation and troubleshooting
- Developing reproducible geospatial Python projects