👋 About Me: I am a Remote Sensing Professional & Data Scientist with over a decade of hands-on experience spanning research, climate-tech startups, academia, externally funded projects (as Project Investigator), and the insurance sector. My background as a geoscientist has allowed me to work at the intersection of hydrology, geospatial intelligence, remote sensing, and climate applications, with a strong focus on climate risk and catastrophic risk modeling. My expertise includes: • 🌍 Climate & Disaster Risk – risk modeling, early warning systems, and emerging risk identification • 🌱 Nature-Based Solutions (NBS) – biodiversity, resilience, and sustainability strategies • 📊 Insurance & Finance – agriculture reinsurance, parametric (index-based) solutions, ESG integration, and sustainability reporting • 🛰️ Geospatial Data & Remote Sensing – Earth observation, geoinformatics, and applied AI for climate
🛰️ Remote Sensing Data I Work With
• Satellite Data: Landsat, MODIS, AVHRR, VIIRS, SRTM, GRACE, Sentinel-1, Sentinel-2, Sentinel-5
• Applications: Hydrology, agriculture, biodiversity, and climate risk modeling.
🛠️ Tools & Technologies
• Programming & Analysis: Python, R, MATLAB
• GIS & Geospatial Tools: Google Earth Engine, QGIS, ArcGIS, GDAL
• Other Areas: Machine learning, climate risk analytics, ESG & sustainability frameworks
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