Muhammad Safdar

Executed advanced spatial analyses that improved site selection efficiency by 30% and contributed to utility network mapping and GIS data integration for wastewater infrastructure projects.

Contributed to utility network mapping and GIS data integration for wastewater infrastructure, converting engineering layouts into GIS-ready formats to ensure spatial accuracy and schema compliance.

Directed UAV mapping for precision agriculture using NDVI, automated spatial workflows with Python reducing manual processing by 40%, and developed interactive dashboards improving spatial modeling performance by 50%.

Developed cadastral and thematic maps for smart city projects, designed real-time ArcGIS Dashboards for project tracking, and trained 20+ staff in ArcGIS Pro and spatial data management to improve operational efficiency.

Delivered a real-time crop monitoring system using UAVs and Sentinel-2, engineered an enterprise geodatabase improving query speed and reliability by 50%, and automated workflows with Python and GEE reducing manual effort by 40%.

Deployed an integrated flood early warning system reducing risk assessment time by 30%, executed DEM analysis and 3D terrain modeling, and developed live GIS dashboards for emergency response.

Executed GPS-based land surveys and cadastral digitization, and converted AutoCAD layouts to GIS-ready formats for urban development projects.

Supported cadastral GIS mapping and documentation, integrating field-collected GPS and CAD data into structured GIS environments to support project delivery.

Completed a Master of Science in Geographic Information Systems focusing on advanced GIS and remote sensing applications.

Earned a Bachelor of Science in Computer Science covering programming, databases, and computational fundamentals applicable to GIS development.