Skills: ArcGIS, QGIS, ENVI, Google Earth, Python
Degrees: B.Sc in Geography
M.Sc in Geography
M.Tech in GIS
Technical Proficiencies: GIS Software: ArcGIS, QGIS, ERDAS IMAGINE
Remote Sensing: Hyperspectral Imaging, Multispectral Analysis, Satellite Image Processing
Geospatial Analysis: Spatial Data Analysis, Map Creation, Data Visualization
Programming Languages: Python (with libraries like GDAL, Rasterio, and NumPy), R (for spatial statistics)
Machine Learning: Scikit-learn, TensorFlow (for geospatial data modeling)
Data Management: SQL, PostgreSQL/PostGIS, Geodatabases
Tools & Platforms: Google Earth Engine, ENVI, GRASS GIS
Web GIS: Leaflet, GeoServer, OpenLayers
Project Management: Agile Methodology, Remote Team Collaboration Tools (e.g., Trello, Slack)
Field Data Collection: GPS, Total Station, Mobile GIS Apps
Service Categories: Digitization
Quality Check
Cadastral Map
Building Footprint
Experience (In Year): 1
Core Skills: Commercial softwares / tools
ArcMap, ArcGIS Pro, ArcGIS Online,
ArcScene, ENVI, & Agisoft Metashape
Open-Source softwares / tools
QGIS, Google Earth Pro, Google Colab &
Google Earth Engine.
Programming skills
Python, SQL & HTML
Microsoft 365
Word, Power Point & Excel
Rate/Charges: As per project
Summary Statement: A motivated and passionate individual excelling in satellite image interpretation to decipher complex geospatial patterns. I
specialize in working with real-time GIS datasets and applying them to near real-world scenarios. With a strong academic
foundation in geospatial sciences and expertise in advanced GIS techniques. My expertise in remote sensing and spatial data
analysis enables me to make significant contributions to any organization I work with.