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Rajkumar Seet

Rajkumar Seet

GIS and Remote Sensing Specialist

Talent
JaipurMember since August 17, 2026
ArcGIS ProENVIERDAS ImagineGoogle Earth EnginePythonSpatial AnalysisImage ProcessingLULC ClassificationRandom ForestDeep LearningSpectral IndicesPower BI
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ArcGIS ProENVIERDAS ImagineGoogle Earth EnginePython

About

Accomplished GIS and Remote Sensing Specialist with over 6+ years of expertise in geospatial data analysis, satellite imagery processing, and machine learning. Proficient in tools like Google Earth Engine, ArcGIS Pro, and ERDAS Imagine, with hands-on experience in advanced LULC classification, time-series analysis, Prediction analysis and spectral indices computation. Proven track record of delivering actionable insights through innovative geospatial solutions.

Experience

Senior Image Processing Expert - NetCreativeMind Pvt. Ltd

(2026-02)

  • Managed end-to-end GIS and image processing projects, including administrative boundary creation, updation, topology correction, and geospatial database management for Ward, Village, Gram Panchayat, and Block datasets across Rajasthan.
  • Performed spatial data QA/QC, topology validation, feature analysis, and attribute verification to ensure data accuracy, consistency, and compliance with mapping standards.
  • Updated and integrated master planning, and administrative boundary datasets using approved maps, reference data, and geospatial analysis techniques.
  • Developed Python-based automation workflows for GIS data processing, quality checks, data updates, and repetitive geospatial tasks, improving operational efficiency and accuracy.

Senior Image Processing Expert - Quantum Asia Pvt. Ltd

(2023-06 - 2026-01)

  • Collected, validated, and standardized revenue boundaries and DLC polygons; ensured topological accuracy and alignment with ePanjiyan and SR zones.
  • Performed advanced LULC analysis in Google Earth Engine, including Random Forest classification, Fusion Stack technique and multi-year change detection.
  • Calculated key spectral indices (NDVI, NDWI, UI, GNDVI, MNDWI, etc.) for detailed land cover assessment.
  • Developed Python-based automated workflows to streamline large-scale geospatial data processing.
  • Applied Deep Learning Model for land cover classification
  • Performed spatial data QA/QC, topology validation, feature analysis, and attribute verification to ensure data accuracy, consistency, and compliance with mapping standards.

GIS Engineer - VT Maps Services Bhilwara Rajasthan - Bhilwara, Rajasthan

(2023-01 - 2023-06)

  • Prepared detailed GIS map layouts for the Transmission Line Project.
  • Digitized land features and built an accurate GIS database.
  • Ensured spatial data accuracy and compliance with standards.
  • Performed land classification and transition monitoring.
  • Supported spatial analysis and thematic map generation.

Senior ITES Executive - iMerit Technology Service Pvt. Ltd Kolkata - Kolkata

(2021-09 - 2023-01)

  • Digitized drivable areas, lane boundaries, and road geometries with high spatial accuracy.
  • Annotated traffic lights, road signs, and control elements for autonomous vehicle mapping.
  • Classified and labeled road signs to enhance transportation datasets.
  • Marked and analyzed road intersections to support navigation and self-driving systems.

Technical Support Personal - RRSC W NRSC/ISRO, Jodhpur - Jodhpur

(2019-10 - 2021-09)

  • Conducted satellite-based geomorphological mapping and classified major dune types of the Thar Desert.
  • Performed morphometric and spatial-temporal analysis of dune formation, evolution, and movement using GIS and remote sensing data.
  • Prepared a comprehensive Dune Atlas integrating geomorphological and terrain information.
  • Supported locust forecasting for Jaisalmer through analysis of vegetation, rainfall, and environmental indicators.

Intern - RRSC W NRSC/ISRO, Jodhpur - Jodhpur

(2019-01 - 2021-06)

  • Developed a semi-automated geospatial workflow for precise extraction of barchan dunes using HiRISE imagery
  • Analyzed multi-temporal MRO HiRISE data to measure dune migration rates across Martian latitudes.
  • Applied advanced remote sensing, GIS, and Python automation for dune morphology and change detection.
  • Assessed Martian wind regime and environmental influences on dune formation and stability

Education

M.Sc - GIS & Remote Sensing - Sangam University, Bhilwara (2017 - 2019)

BA - Geography - Jai Narayan Vyas, University (2014 - 2017)

Master Program Certification - Data Scientist - Simplilearn & IBM (2023 - 2024)

Skills

GIS and Remote Sensing Specialist

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