Quantifying physical climate risks and transforming spatial data into financial resilience strategies.
- π I specialize in Physical Climate Risk Modeling and Socio-Economic Governance Analytics.
- π’ Currently engineering Asset-Level Climate Stress-Tests and Geospatial Optimization Models for coastal and arid infrastructures.
- βοΈ I use spatial science to bridge the gap between environmental degradation and corporate financial exposure (TCFD/CSRD alignment).
- π± Core philosophy: Moving beyond static mapping to build automated, data-driven risk indices for high-value asset preservation.
- π¬ Ask me about: Sea Level Rise (SLR) Inundation, Urban Heat Islands (UHI), Multi-Criteria Decision Analysis (MCDA), and Spatial SQL.
| ποΈ The Palm Jumeirah: Stranded Asset Index | βοΈ MBR Solar Park: Geospatial Optimization |
|---|---|
| Asset-Level Climate Stress-Test (AED 46.2B Portfolio) β’ Engineered a 2030-2100+ inundation model using Copernicus DEM and IPCC AR6 high-emission scenarios. β’ Identified a critical topological threshold post-2050 exposing AED 4.11B in assets. β’ Translated spatial vulnerability into Climate-Adjusted Loan-to-Value (LTV) ratios. |
Multi-Criteria Decision Analysis (MCDA) β’ Designed a spatial framework weighing Solar Yield, Dust Risk (Shamal Winds), Grid Logistics, and Land Cost. β’ Utilised NASA MODIS & Copernicus ERA5 data to benchmark OPEX vs CAPEX. β’ Identified an optimised 5kmΒ² "Goldilocks Zone" delivering a projected NPV of AED 119.7M. |
Importance-Performance Analysis (IPA) of Rural Service Delivery (Puruliya)
- Metric Engineering: Developed a Weighted Improvement Index to prioritize administrative interventions across 8 regional blocks.
- Data Normalization: Synthesised complex socio-economic and demographic datasets using Min-Max scaling for cross-scheme benchmarking.
- Strategic Output: Translated raw administrative data into visual heat maps and actionable policy recommendations for resource allocation.