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Somdeep Kundu

Somdeep Kundu

PhD Scholar, IIT Bombay | RuDRA Lab, C-TARA

Generalised Abstract Spatio-temporal madness


About Me

I am a PhD Scholar at the Centre for Technology Alternatives for Rural Areas (C-TARA) at Indian Institute of Technology, Bombay, and an active member of the RuDRA (Rural Data Research Analysis) Lab. Building on my background in Civil Engineering and a PG diploma in Disaster Management with Remote Sensing & GIS from IIRS, ISRO, my work addresses agricultural water optimization for rural Maharashtra. My methodology centers on field-operationalizable approaches and site-specific hydrological modeling rather than purely theoretical machine learning. By integrating ancient agrometeorology with multimodal satellite data (such as NISAR and Sentinel) and multi-temporal ground-truthing, I utilize Python, QGIS, and Google Earth Engine to translate complex geospatial data into actionable rural applications.


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Skills

  • GIS & Remote Sensing


    • Google Earth Engine, QGIS
    • GDAL / OGR — Drone data spatial analysis with open-source tools
    • STAC API for satellite data integration
    • DGCA-approved certified drone pilot (Rotorcraft, VLOS, Small)
  • Programming


    • Python — Machine Learning & Automation
    • R — Spatial Data Analysis
    • JavaScript — Web mapping & GEE
    • HTML, CSS — Web Development
    • Natural Language / Vibe Coding — Agentic Workflow
    • Parallel processing using Dask and XArray
  • Machine Learning & GeoAI


    • Linear Algebra, Bayesian Statistics
    • Classical and non-Markovian hybrid approach
    • Post-classification accuracy assessment
    • Time-series spatial data processing and gap filling
    • Foundational Model (Alpha Earth)
    • Graph Neural Networks (GNN), Knowledge Graph
    • Sustainable and Trustworthy AI
    • Chaos Theory applications in agrometeorology
  • Web Mapping & Applications


    • Streamlit for data-driven web apps and dashboards
    • Interactive web-based application development (GEE apps, GitHub.io)
    • Integrating indigenous knowledge systems with spatial data
    • Multiband spatiotemporal remote sensing data visualization
    • Static and dynamic web development
  • Social & Emotional Skills


    • Highly motivated
    • Working on technology alternative for Rural Areas
    • Communication skills and active leadership experiences
    • Evidence-based policy evaluation studies
    • Qualitative research, Auto-Ethnography

Connect

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