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Mouparna Dhar

Hi there, I'm Mouparna Dhar πŸ‘‹

Geospatial Risk Researcher | ESG Data Analyst | Climate Resilience Specialist

Quantifying physical climate risks and transforming spatial data into financial resilience strategies.

LinkedIn Email


🌍 About Me

  • πŸ”­ I specialize in Physical Climate Risk Modeling and Socio-Economic Governance Analytics.
  • 🏒 Currently engineering Asset-Level Climate Stress-Tests and Geospatial Optimization Models for coastal and arid infrastructures.
  • βš™οΈ I use spatial science to bridge the gap between environmental degradation and corporate financial exposure (TCFD/CSRD alignment).
  • 🌱 Core philosophy: Moving beyond static mapping to build automated, data-driven risk indices for high-value asset preservation.
  • πŸ’¬ Ask me about: Sea Level Rise (SLR) Inundation, Urban Heat Islands (UHI), Multi-Criteria Decision Analysis (MCDA), and Spatial SQL.

πŸ› οΈ Technical Arsenal

Geospatial & Remote Sensing

Data Engineering & Analytics

ESG & Financial Modeling


πŸ“Š Portfolio Highlights

πŸ™οΈ The Palm Jumeirah: Stranded Asset Index β˜€οΈ 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.

🌍 Public Governance & Infrastructure Analytics

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.

πŸ“ˆ GitHub Analytics

GitHub Stats GitHub Streak

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  1. palm-jumeirah-risk-index palm-jumeirah-risk-index Public

    Geospatial climate stress-test of an AED 46.2B real estate portfolio on Dubai's Palm Jumeirah. Utilizing Copernicus DEM & IPCC AR6 models, I quantified sea-level rise inundation through 2100. The i…

    HTML

  2. solar-strategic-optimization solar-strategic-optimization Public

    Strategic capital allocation framework for utility-scale solar infrastructure in the UAE. This geospatial model integrates NASA atmospheric data and infrastructure logistics to optimize 25-year lif…

    HTML

  3. baghmundi-study baghmundi-study Public

    Mapping the effectiveness of government welfare in rural India. An interactive study of Baghmundi Block's administrative performance and public service delivery by Mouparna Dhar.

    HTML

  4. estonia-peatland-monitor estonia-peatland-monitor Public

    🌍 Enterprise-grade Earth Observation (EO) framework for peatland audit & analytics. Integrates Sentinel-1/2 & ERA5 data to verify EU Law compliance, forecast 2030 health trajectories, and stress-te…

    Python

  5. climate-guardian climate-guardian Public

    Enterprise-grade ESG SaaS platform for CSRD-aligned double materiality disclosure. Features secure Auth, bulk portfolio analysis (CSV), and 60-year financial modeling. Orchestrates 6 live APIs to p…

    TypeScript