Gaurav Pandey

Gaurav Pandey

$5/hr
GeoAI, remote sensing, and GIS expert specializing in risk mapping and data analysis.
Reply rate:
-
Availability:
Hourly ($/hour)
Location:
Butwal, Lumbini, Nepal
Experience:
1 year
Gaurav Pandey Geomatics Engineer | Remote Sensing & GeoAI Enthusiast - |-Kathmandu, Nepal Linkedin: https://www.linkedin.com/in/gaurav-pandey-8ab880328/ Professional Summary Results-driven Geomatics Engineer with expertise in GIS, remote sensing, and geospatial data analytics. Experienced in applying machine learning and deep learning techniques for environmental monitoring and disaster management. Proficient in developing geospatial tools, WebGIS solutions, and conducting advanced spatial analysis for real-world problems. Projects • • • • • • • Waste Disposal Site Selection Using GIS-Based MCDA | Spatial analysis using QGIS, ArcMap, and ArcGIS Online with AHP & MCDA methods. Digitizing Tool for Aerial Imagery | Java-based tool for digitizing aerial imagery features. Glacier Change Detection | Python-based NDSI and glacier terminus retreat detection from satellite images. Wildfire Impact Assessment | NDVI and NBR indices used for burn severity analysis via GIS and remote sensing. Interactive WebGIS Maps | Developed with Leaflet.js, Django, and third-party APIs. Landslide Susceptibility Mapping | ML models with ensemble feature selection for risk prediction. Landslide Detection Using Deep Learning | Applied CNN-based models for automated landslide detection from satellite data. Professional Experience GeoAI Intern | NAXA Pvt. Ltd. | 3 months • Applied GeoAI and deep learning techniques for geospatial data analysis. • Contributed to automated solutions for environmental and disaster monitoring. • Assisted in data preprocessing, analysis, and model building tasks. Education • Kathmandu University, Kavre — B.E. in Geomatics Engineering | CGPA: 3.16 • • Trinity International College, Kathmandu — +2 Science | CGPA: 3.01 Paramount Boarding Secondary School, Rupandehi — SEE | CGPA: 3.55 Certifications • • JavaScript, HTML & CSS — CodeAcademy | 2024 Survey Practical Training — NCP Mobility Program | 2024 Technical Skills • • • • • GIS & Remote Sensing: QGIS, ArcMap, ArcGIS Online, NDVI, NBR, NDSI analysis Programming: Python, Java, JavaScript Web Development: Django, Leaflet.js, HTML, CSS Machine Learning & Deep Learning: scikit-learn, TensorFlow, PyTorch Data Analysis: MCDA, AHP, ensemble feature selection, spatial statistics Languages English (Fluent), Nepali (Native), Spanish (Learning)
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