Gurugram, Haryana, India
I turn satellite, SAR, UAV, and GIS data into decisions that people can actually use. Across 5+ years in government, research, and enterprise geospatial environments—including HARSAC, MNIT, BISR, ISRO, and Esri India—I’ve built geospatial solutions for agriculture, water resources, environmental monitoring, and urban systems. My work spans Earth observation, SAR analytics, UAV mapping, LiDAR QA, Google Earth Engine, ArcGIS, spatial modeling, and geospatial automation using Python and JavaScript. I’m most valuable where raw spatial data has to become a working system. That has included improving SAR-based crop classification accuracy by ~15%, supporting UAV-led monitoring for illegal mining and canal water diversions, building web GIS platforms for LULC, demolition, and water mapping. What differentiates me is range with depth: I can work across sensor data, analytics, web GIS, enterprise platforms, and stakeholder communication without losing sight of the real goal—decision-ready intelligence. I’m currently pursuing a PhD in Remote Sensing & GIS focused on groundwater vulnerability assessment using machine learning and geospatial modeling. I’m especially interested in roles at the intersection of Earth observation, geospatial applications, climate and water intelligence, and urban analytics. Core strengths: Remote Sensing | Earth Observation | SAR Analytics | ArcGIS Enterprise | Google Earth Engine | UAV Mapping | Spatial Modeling | Python | Geospatial Applications
Resolve 10+ ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, and enterprise geospatial workflow issues each week while sustaining ~98% satisfaction. Diagnose and fix projection, geodatabase, licensing, deployment, and configuration issues across complex client environments. Build knowledge-base content and root-cause documentation that reduce repeat issues and improve SLA performance. Partner with product teams on escalations to accelerate resolution and strengthen customer trust in enterprise GIS systems.
Executed time-series Sentinel-1 SAR analysis for crop mapping and agriculture monitoring programs. Improved classification accuracy by ~15% by refining preprocessing workflows for deep-learning-based analysis. Translated radar imagery into actionable crop insights for monitoring and decision support.
Built Google Earth Engine web GIS dashboards for land-use / land-cover monitoring, demolition tracking, and water mapping. Developed GIS zoning layers for Ease of Doing Business initiatives and created urban planning decision-support tools. Performed satellite and LiDAR quality assurance to improve the reliability of multi-source spatial outputs. Turned complex geospatial datasets into operational tools for environmental monitoring and planning teams. Processed UAV datasets into DEMs, DSMs, orthomosaics, and 3D models for terrain intelligence and project delivery. Created end-to-end geospatial pipelines spanning data capture, preprocessing, analysis, and final visualization. Applied Random Forest classification and site suitability analysis for eco-tourism and routing-related use cases. Delivered production-ready outputs across UAV mapping, terrain modeling, and spatial analysis projects.
Supported multi-city zonal development plans through GIS database design, mapping, ground truthing, and network analysis. Produced planning-grade spatial outputs that informed infrastructure and urban development decisions.
Delivered GIS outputs for IWMP and SIS-DP projects focused on land and water resource planning. Converted raw spatial data into project-ready maps and layers for applied public-sector programs
Supported satellite data processing and remote sensing workflows for applied environmental monitoring work. Strengthened expertise in imagery interpretation, data preparation, and scientific geospatial analysis.