Waqas Ahmad

GIS OFFICER

CESVI • Fulltime

Nov 2025 - Present • 1 yr

 Leading the spatial data management, analysis, and visualization required for the development of forecast-based triggers and risk-informed Anticipatory Action (AA) protocols and policy.  Supporting technical consultations, contribute to the Trigger Development Workshop, and develop GIS-based tools and maps that integrate hazard, exposure, and vulnerability data.  Close coordination with hydrologists, meteorologists, DRM experts, and government line departments to ensure that all geospatial outputs are scientifically valid, operationally relevant, and contextually feasible  Developing Flood impact database (FID) for the anticipatory action

GIS Expert

IUCN • Fulltime

Apr 2025 - Nov 2025 • 7 mos

 Leading GIS component for Punjab Wildlife Census Project (PWCP) including LULC mapping, habitat analysis, and species distribution modeling.  Developed geodatabase, field data integration, and real-time dashboards for wildlife survey monitoring.  Performed change detection analysis for Indus Delta and mangrove restoration sites under IUCN projects.  Processed drone imagery and generated orthomosaics and high-resolution land cover layers.  Supported Upscaling Green Pakistan Initiative and Upscaling SFM Project with forest monitoring and geospatial reporting.  Delivered spatial datasets and maps for national-level conservation and environmental planning.  Developed a Python/YOLO-based desktop application to detect and count olive trees in high resolution aerial imagery, with zoomable previews and GeoJSON export for georeferenced TIFF inputs; the current model is trained for olive trees.

Researcher

Hongik University • Fulltime

Aug 2023 - Aug 2024 • 1 yr

 Processed and analyzed meteorological radar observations and Automatic Weather Station (AWS) data to assess precipitation and temperature patterns across South Korea.  Integrated historical government-recorded snow disaster impact data, including affected populations and reported incidents, with meteorological and geospatial datasets.  Applied spatial analysis and optimization techniques to identify and map areas susceptible to snow related disasters, supporting hazard and vulnerability assessment.  Contributed to research on snow disaster-prone area mapping using disaster-density optimization and environmental indicators.