π°οΈ Remote Sensing & GIS Specialist | π Geospatial Analyst | π Data Science & AI Enthusiast
- π PG-Diploma in Remote Sensing & GIS (IIRS-ISRO) | M.Sc. Environmental Science
- πΌ 5+ years of experience in Geospatial Analytics, Remote Sensing, and Data Science
- π°οΈ Worked with WII, NIH, MOEFCC, MNCFC, Amnex Infotech, and Star Agribazaar on large-scale projects
- π± Passionate about applying Geospatial Technology in agriculture, climate, environment, urban planning and water
- π‘ Skilled in building WebGIS, spatial models, and Earth observation applications
- Remote Sensing & GIS: ArcGIS, QGIS, ENVI, SNAP, ERDAS, Google Earth Engine
- Programming: Python (NumPy, Pandas, Scikit-learn), R, SQL, PostgreSQL, JavaScript
- AI/ML: TensorFlow, PyTorch, Deep Learning, Random Forest, CNNs, Time-Series Models
- Data Science: Regression, Classification, Clustering, Time-Series, NLP, Data Visualization
- Visualization Tools: Power BI, Matplotlib, Seaborn, Leaflet, Mapbox
- Web Development (GIS): GeoServer, PostGIS, Mapbox, MapStore, Leaflet, HTML, CSS, JS
- πΎ Crop Classification & Yield Forecasting (Sentinel-2 + ML)
- π₯ Forest Fire Economic Loss Estimation (WII project)
- βοΈ Snow Cover Monitoring System (NIH Roorkee)
- π Apple Leaf Disease Detection using CNN & TensorFlow
- π WebGIS for Real-Time Crop Monitoring (GeoServer + Leaflet + PostGIS)
- π§ Flood Risk & Watershed Analysis
- π³ LULC Change Detection & Carbon Stock Estimation
β¨ Always open to collaboration in Remote Sensing, GIS, and Data Science projects!