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Givsan BhattaraiGB
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Givsan Bhattarai

@givsanbhattarai

I’m a geomatics engineer focused on geospatial analysis, LiDAR processing, and building interactive GIS web maps.

Nepal
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What I'm looking for

I’m looking for a role where I can apply LiDAR/GIS and GeoAI skills to solve real geospatial problems—supporting field-based data collection, building accurate maps, and growing into impactful GIS/remote-sensing work.

I’m a Geomatics Engineering student with practical experience in geospatial LinkedIn data collection, digitization, and spatial analysis. In my thesis, I worked on pothole detection using a consumer-grade LiDAR sensor—processing point clouds for road surface analysis, applying classification for pothole identification, and conducting spatial accuracy assessment.

As a GeoAI Intern at NAXA Pvt Ltd, I gained hands-on LiDAR data processing and applied Machine Learning models including UNet++, CNN, and Random Forest. I also performed Road Extraction from satellite imagery, building my confidence in model-based feature extraction and geospatial preprocessing workflows.

I enjoy turning complex spatial data into usable products. I’ve developed a real-time web map using OpenLayers and a Web GIS platform with Django, Leaflet, GeoServer, and PostGIS—focused on interactive visualization of spatial information—while staying interested in data documentation, field-based data collection, and participatory mapping.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Kathmandu University logoKU

Kathmandu University

Bachelor of Engineering (BE), Geomatics Engineering

Activities and societies: Thesis project: Pothole Detection using Consumer-Grade LiDAR; processed LiDAR point clouds for road surface analysis; applied classification for pothole identification; conducted spatial accuracy assessment.

BE in Geomatics Engineering. Thesis focused on pothole detection using a consumer-grade LiDAR sensor, including LiDAR point cloud processing, classification for identification, and spatial accuracy assessment.

Tech stack

Software and tools used professionally

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