Tom Campbell

Developed and implemented a real-time hazard detection system using Google Earth Engine and Sentinel-1 SAR data, enabling rapid damage assessment and critical insights for underwriting and claims teams. Delivered live catastrophe event response reports, translating complex GIS and remote sensing data into actionable insights and financial loss estimates for senior management. Managed SQL databases

Developed interactive catastrophe exposure dashboards using ArcGIS and Tableau for rapid post-disaster impact assessments and exposure estimates. Performed portfolio modeling with AIR and supported emergency response operations through rapid geospatial analysis for claims triage and reinsurance decisions. Led projects on man-made perils and managed Lloyd's Realistic Disaster Scenario submissions,

Automated data cleansing and aggregation using Python, significantly improving data accuracy and reducing processing times. Visualized portfolio exposure to disasters with QGIS and SpatialKey, delivering timely post-event exposure reports. Conducted real-time event tracking and geospatial analysis to support catastrophe modeling workflows and data entry into the RMS aggregation system.

Gained foundational understanding of SAR and InSAR remote sensing concepts and applications. Explored the use of SAR for monitoring natural hazards and analyzing ecosystems, including vegetation and biomass.

Grade: 2:1

Activities and societies: Independent Research Mapping Project – Isle of Skye: 5-week independent study, demonstrating expertise in maintaining detailed, methodical, and analytical field notes, categorising and analysing diverse environmental data, and effectively communicating findings through clear and concise reports.

Studied core geological principles, including remote sensing techniques for Earth observation and global tectonics. Conducted an independent research mapping project on the Isle of Skye, demonstrating strong analytical and reporting skills.