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Parkis DeuriPD
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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

India
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What I'm looking for

I'm seeking remote GIS analyst, geospatial data science, and scientific consulting roles worldwide, where I can apply automated spatial workflows and satellite-based environmental analysis.

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

SI

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).

Indian Space Academy logoIA

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 logoRI

Remote Sensing Applications Centre, U.P, India

Master of Technology, Remote Sensing & GIS

2024 - 2026

Banaras Hindu University logoBU

Banaras Hindu University

Master of Science, Environmental Sciences & Technology

2020 - 2022

SU

Sikkim University

Bachelor of Science, Geology

2017 - 2020

Tech stack

Software and tools used professionally

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