Maitreyee Biswas

MSc graduate in Environment and Disaster Management with hands-on GIS and remote sensing experience — from satellite-based LULC and NDVI/NDWI analysis to Python-driven processing of large climate and geospatial datasets at NCPOR. Skilled at turning raw geospatial data into clear maps and actionable insight.

Dissertation Research Intern - National Centre for Polar and Ocean Research (NCPOR)

(2026-01 - 2026-05)

India's premier institute for polar, Arctic and Southern Ocean research

• Built Arctic polar-projection maps in Cartopy and GIS, translating large NetCDF datasets into clear spatial outputs.
• Analysed 1979–2025 ERA5, NOAA OISST, NSIDC and HadISST datasets to study Arctic sea-ice variability and precipitation-phase transitions.
• Applied EOF, seasonal composite, anomaly and trend analyses to examine coupled sea-ice, precipitation and atmospheric variability.
• Developed reproducible Python workflows for processing and visualising large-scale geospatial and climate datasets.

Remote Sensing & GIS Projects - Independent / Academic

(2024 - 2026)

Self-directed remote sensing and GIS coursework projects

• Carried out LULC classification, NDVI/NDWI analysis, raster processing and environmental change detection using satellite imagery.
• Used ArcGIS Pro, QGIS and Google Earth Engine for geospatial analysis and thematic mapping.

M.Sc. - Environment and Disaster Management - Ramakrishna Mission Vivekananda Educational and Research Institute (2024 - 2026)

B.Sc. - Geography - University of Calcutta (2020 - 2023)

Higher Secondary (2020)