Producing landslide, flood, debris flow and multi-hazard susceptibility and zonation maps using GIS-based statistical models (frequency ratio, logistic regression, machine learning) and physically based approaches calibrated with field-verified inventory data and validated against historical events.

Applying spatial data science, geostatistics and remote sensing analysis to environmental, hydrological and socioeconomic datasets for producing actionable spatial intelligence for infrastructure planning, natural resource management and disaster risk assessment.

Designing and producing high-quality thematic maps, infographic atlases and cartographic outputs for technical reports, donor deliverables and public communication by combining rigorous spatial analysis with clear visual design standards for professional presentation.

Building interactive Web-GIS dashboards and geospatial portals for real-time monitoring data, project tracking and public information by integrating sensor feeds, spatial databases and web mapping libraries (Leaflet, MapBox, OpenLayers) into accessible, user-configurable platforms.