Skills: ArcGIS, QGIS, MapInfo, GRASS GIS, ENVI, ERDAS Imagine, Google Earth, Python, Postgres & PostGIS Database, OpenLayers

Degrees: MTech in Geoinformatics

Technical Proficiencies: Python Programming, Research, Technical Analysis of Data, Geoinformatics, GIS, Remote Sensing Agriculture, Flood, Yield estimation etc

Service Categories: Agriculture, Yield Estimation, LULC creation, Remote sensing, GIS, Research In Geoinformatics

Experience (In Year): Select Experience

Core Skills: Python, Geopandas, Rasterio, Numpy, Pandas, Xarray, Arcgis, Erdas Imagine, QGIS, ENVI etc

Rate/Charges: As per project

Summary Statement: I am a highly skilled Geospatial Analyst with expertise in remote sensing, geoinformatics, and environmental data analysis. With hands-on experience in satellite imagery processing, GIS, and machine learning applications, I specialize in delivering data-driven insights for agriculture, environmental monitoring, and land management. Throughout my career, I have worked on diverse projects, including: • SAGE: Agricultural land boundary mapping, ownership verification, and data cleaning with farm-level QA/QC. • Methane Estimation: Developed models for estimating methane (CH₄) emissions from paddy fields using IPCC guidelines. • Brazil Crop Classification: Created crop classification and LULC maps for Mato Grosso State. • YES-TECH (Yield Estimation): Soybean yield estimation using a semi-physical model for PMFBY. • Himalayan River Basin Study: Developed deep learning (LSTM, SVM) models for Leaf Area Index estimation, analyzed vegetation indices, and estimated land surface temperature (LST) from satellite data. Proficient in Python, ArcGIS, Envi, and Erdas Imagine, I am passionate about leveraging geospatial technology for precision agriculture and sustainable environmental solutions. I am eager to collaborate on innovative projects where I can apply my expertise to drive actionable insights. I look forward to the opportunity to contribute to your project. Let’s connect to discuss how my skills align with your requirements. Best regards,
 Bandesh