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shamnasvm63-coder/README.md

Hi, I'm Shamnas 👋

MSc Transition Management | ESG & Geospatial Data Analyst | JLU Giessen, Germany

I'm a sustainability professional combining financial accounting (SAP FICO), geospatial analysis (QGIS, Google Earth Engine), and applied statistics (R, Python) to deliver data-driven ESG insights.

Currently completing my Master's thesis at Justus Liebig University Giessen, building a portfolio at the intersection of sustainable finance, climate risk, and data analytics.

🛠️ Tech Stack

R Python QGIS SAP

Languages: R · Python · SQL (learning) Geospatial: QGIS · Google Earth Engine · Sentinel-2 · Remote Sensing Finance: SAP FICO · Tally ERP · GCC/UAE VAT · Financial Reporting Visualisation: ggplot2 · Shiny · plotly · Power BI (learning)

📂 Portfolio Projects

Project Tools Description
🌱 ESG Performance Dashboard R, Shiny, ggplot2, plotly Interactive 5-tab ESG & CO2 dashboard for 30 global companies
🌊 Spatial Flood Risk Analysis Python, GEE, QGIS, Sentinel-2 CART ML classification of flood vulnerability in Malappuram (2018–2024)
📈 DAX ESG Volatility Study R, quantmod, OLS Regression Quantitative proof that ESG reduces market volatility in DAX 20 firms

🎓 Background

  • 📍 Frankfurt am Main, Germany
  • 🎓 MSc Transition Management — Justus Liebig University Giessen
  • 💼 Former Accountant — SAP FICO, GCC/UAE VAT compliance
  • 🌍 Target roles: ESG Analyst · Sustainable Finance · Geospatial Data · Climate Risk

📫 Connect

LinkedIn Email

Pinned Loading

  1. dax-esg-volatility-analysis dax-esg-volatility-analysis Public

    R-based OLS regression proving ESG scores reduce DAX market volatility by 1.42% per point (R²=8.4%). Tools: quantmod, ggplot2.

    R

  2. esg-performance-dashboard esg-performance-dashboard Public

    Interactive R Shiny Dashboard analyzing ESG scores and CO2 emissions for 30 global companies (2021-2023).

    R

  3. spatial-flood-risk-analysis spatial-flood-risk-analysis Public

    LULC Classification and Flood Vulnerability Analysis of Malappuram District (2018–2024) using Sentinel-2 and CART Machine Learning

    Python