GIS Analyst | Data Scientist | Remote Sensing | Climate & Sustainability

I am a Geospatial Data Scientist with 3.5+ years of experience delivering large-scale spatial analytics projects for climate adaptation, land-use planning, and sustainable energy transitions.

I specialize in:

• Blue-Green Infrastructure mapping
• Land suitability modelling
• Satellite image classification (Sentinel-2, Landsat)
• Hydrological & watershed analysis
• Machine Learning & Deep Learning for remote sensing
• Multi-criteria spatial decision systems

I build end-to-end geospatial workflows — from raw satellite imagery to policy-ready decision-support tools.

🔹 Processed 15,000+ Sentinel-2 scenes
🔹 Integrated 40+ geospatial layers
🔹 Developed ecosystem-service prioritization framework
🔹 Designed district-level intervention maps
🔹 Built scalable classification from nano to mega scale

Impact:

• Supports climate adaptation
• Enhances ecological restoration
• Enables evidence-based land-use planning

• Land suitability modelling for distributed solar
• Multi-criteria decision framework
• Time-of-Use tariff modeling
• Policy advisory analytics

• QGIS | ArcGIS | Google Earth Engine
• Sentinel-2 | Landsat | DEM Analysis
• Watershed delineation
• Spectral indices (NDVI, NDBI, NDWI, BSI)

• Random Forest | SVM | K-Means
• CNN-based raster classification
• Feature engineering for satellite imagery
• Accuracy assessment & validation

• Python (GeoPandas, Rasterio, GDAL)
• Pandas, NumPy, Scikit-Learn
• SQL
• Java (Spring Boot foundations)

✔ Geospatial databases
✔ Interactive web maps
✔ Suitability & opportunity mapping
✔ Policy-ready technical reports
✔ End-to-end ML/DL pipelines

LinkedIn: https://www.linkedin.com/in/athithiyan-m-r-/
GitHub: https://github.com/Athithiyanmr

⭐ Open to collaborations in climate analytics, geospatial AI, and sustainability research.

• 💼 LinkedIn: https://www.linkedin.com/in/athithiyan-m-r-/
• 💻 GitHub: https://github.com/Athithiyanmr