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
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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
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Kathmandu University, Kavre — B.E. in Geomatics Engineering | CGPA: 3.16
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Trinity International College, Kathmandu — +2 Science | CGPA: 3.01
Paramount Boarding Secondary School, Rupandehi — SEE | CGPA: 3.55
Certifications
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JavaScript, HTML & CSS — CodeAcademy | 2024
Survey Practical Training — NCP Mobility Program | 2024
Technical Skills
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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)