Skills: Non Disclosed

Degrees: M.Sc. in Remote Sensing and GIS

Technical Proficiencies: Programming & Scripting: Python, SQL, Java Geospatial Tools & Software: ArcGIS, QGIS, Google Earth Engine (GEE), ENVI, Erdas Imagine Remote Sensing & Data Processing: LiDAR, 3D Modeling, Change Detection, Satellite Image Analysis Machine Learning: Deep Learning, Predictive Modeling, TensorFlow Data Analytics & Visualization: Power BI, Excel, Pandas, Matplotlib, Seaborn Database Management: SQL, MySQL Project & Workflow Management: GitHub

Service Categories: Service Categories: 1. Geospatial Analysis & Mapping a.GIS mapping & spatial analysis b.Land cover change detection c.Utility mapping & infrastructure planning 2. Remote Sensing & Image Processing a.Satellite imagery analysis b.LiDAR processing & 3D modeling c.Crop monitoring & yield estimation 3. Machine Learning for Geospatial Data a.Predictive modeling for agriculture & environment b.Deep learning for geospatial applications c.Automated change detection 4. Data Analytics & Visualization a.Business intelligence dashboards (Power BI, Python) b.Data mining & statistical analysis c.Geospatial data integration & visualization 5. Agricultural & Environmental Consulting a.Crop loss assessment & risk analysis b.Climate & environmental impact studies c.Precision agriculture solutions

Experience (In Year): 4

Core Skills: Geospatial Analysis & Remote Sensing, Machine Learning, Data Analytics & Visualization, Agriculture & Environmental Studies, Business & Research Acumen

Rate/Charges: As per project

Summary Statement: Experienced Geospatial Data Analyst with expertise in Remote Sensing, and GIS analysis. Proficient in developing machine learning models for crop yield estimation, loss assessment, and environmental monitoring. Strong background in statistical analysis, data modeling, and geospatial data processing using Python, SQL, and Power BI. Successfully led projects improving agricultural insights, land cover change detection, and demographic research. Passionate about leveraging geospatial technology for data-driven decision-making in agriculture, environmental studies, and urban planning.