Parkis Deuri
@parkisdeuri
Remote Sensing & GIS | M.Tech (RSAC-UP) & M.Sc (BHU) | Geospatial Analysis | ArcGIS • QGIS • GEE • ERDAS Imagine • SNAP | 2024 GATE AIR 654
What I'm looking for
Geospatial and Remote Sensing Specialist holding an M.Tech in Remote Sensing and GIS and an M.Sc in Environmental Science and Technology. Experienced in end-to-end satellite image processing, multi-temporal terrain modeling, LULC classification, flood inundation modeling, and cryospheric glacier inventory assessment. Proven ability to automate spatial data pipelines using Python and Google Earth Engine (GEE), and seeking remote GIS analyst, geospatial data science, and scientific consulting roles worldwide.
TECHNICAL EXPERTISE AND SOFTWARE STACK
• GIS and Remote Sensing Platforms: ArcGIS Pro, QGIS, Google Earth Engine (GEE), ERDAS Imagine, ESA SNAP.
• Programming and Data Libraries: Python (GeoPandas, Rasterio, Shapely, GDAL, NumPy, Pandas), Spyder.
• Earth Observation and Sensors: Optical and Synthetic Aperture Radar (SAR) imagery, Sentinel, Landsat, SRTM DEM, ASTER GDEM.
• Spatial Analysis and Methodologies: Supervised/Unsupervised Machine Learning Classification, Spectral Indices (NDVI, NDWI, NDSI, NDBI), Change Detection, Hydrological Modeling, Time-Series Geospatial Analytics.
KEY PROJECTS AND APPLIED RESEARCH
• Cryosphere and Glacier Dynamics Assessment: Executed multi-decadal glacier inventory mapping and volume change estimation using high-resolution DEMs, optical satellite data, and spatial regression models in ArcGIS Pro and ERDAS Imagine.
• Flood Inundation and Agricultural Impact Modeling: Built custom Google Earth Engine (GEE) scripts to delineate surface water extent and quantify regional agricultural crop damage using Sentinel-1 SAR and Sentinel-2 optical data.
• Spatio-Temporal Lake and Wetland Monitoring: Analyzed multi-temporal surface water area fluctuations and volumetric dynamics using automated spectral index extraction in QGIS and Python.
• Vegetation Dynamics and Land Degradation: Modeled NDVI-based canopy health time series during an applied internship with India Space Academy to evaluate spatial vegetation density shifts.
• GATE Qualified – Geomatics Engineering (AIR 654)
• Certifications: IIRS/ISRO Specialized Certifications in GIS and Machine Learning Applications for Spatial Data.
Experience
Work history, roles, and key accomplishments
Graduate Trainee / Dissertation Scholar
Surface Water Resources Division (SWRD), RSAC-UP, India
Jul 2025 - Jul 2026 (1 year)
Experienced in end-to-end satellite image processing, multi-temporal terrain modeling, LULC classification, flood inundation modeling, and cryospheric glacier inventory assessment. Proven ability to automate spatial data pipelines using Python and Google Earth Engine (GEE).
Remote Sensing & GIS Intern
Indian Space Academy
Jul 2025 - Aug 2025 (1 month)
Internship at ISA.
• Conducted satellite imagery analysis for vegetation classification and land-cover mapping using geospatial tools.
• Performed Vegetation Health Mapping and Analysis using GEE.
Education
Degrees, certifications, and relevant coursework
Remote Sensing Applications Centre, U.P, India
Master of Technology, Remote Sensing & GIS
2024 - 2026
Banaras Hindu University
Master of Science, Environmental Sciences & Technology
2020 - 2022
Sikkim University
Bachelor of Science, Geology
2017 - 2020
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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