Skills: ArcGIS, QGIS, ENVI, ERDAS Imagine, Google Earth, JavaScript, Python, MySQL Database
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.