About
Postgraduate in Applied Geography and Geo-Informatics with hands-on experience in GIS editing, CAD-to-GIS conversion, geodatabase management, spatial validation, remote sensing, and Python-based data analysis. Experienced in preparing accurate, standard-based geospatial outputs for pipeline, utility, climate, and environmental mapping projects.
Experience
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GIS EditorGeo Survey TechAug 2026 – Present
Prepare and manage pipeline and utility mapping datasets, process AutoCAD/DWG drawings, digitize network features, perform network analysis, create and maintain geodatabases, and validate spatial and attribute information.
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Trainee Analyst (GIS / LiDAR)Deduce Technologies · Salem, IndiaSep 2025 – Mar 2026
Processed and interpreted LiDAR point cloud data, digitized geospatial features, and performed spatial and attribute validation using GIS tools.
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GIS InternDistrict Disaster Management Authority (DDMA) · Wayanad, KeralaJul 2025 – Aug 2025
Integrated rainfall datasets into GIS workflows, prepared interpolated rainfall distribution maps, and developed GIS-based visual outputs for district-level analysis.
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Project InternNational Remote Sensing Centre (NRSC), ISRO · Hyderabad, IndiaDec 2024 – Apr 2025
Conducted postgraduate research on aquaculture pond health using Sentinel-2 remote sensing data and analyzed imagery to assess water quality indicators.
Education
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M.Sc.Applied Geography and Geo-Informatics · 2023 – 2025
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B.Sc.Geography (Hons) · 2020 – 2023
Skills
Tools / apps / platforms
Languages
Projects
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Landslide Susceptibility & Hazard Zonation MappingGIS, remote sensing
Developed GIS-based landslide hazard zonation maps using spatial analysis and LNRF methodology.
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Aquaculture Pond Health Assessment Using Remote SensingSentinel-2, SNAP, ArcGIS Pro
Analyzed aquaculture pond health using remote sensing and GIS workflows to assess chlorophyll, TSM, and dissolved oxygen.
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Global Climate Change & Extreme Weather AnalysisPython
Performed exploratory data analysis of global climate change and extreme weather datasets, including data cleaning, statistical analysis, and visualization.