Portrait of Oluwajoba Olamide Omolade

Oluwajoba Olamide Omolade

Wildfire Risk & Severity Analysis Using Environmental Data

Oluwajoba analysed environmental data to understand where wildfire risk is highest and what drives severity. Similar analysis helps a business price risk, plan resources and make better location-based decisions.

ExcelData visualisation

The business question

Which environmental conditions make a wildfire more likely to become severe, and when is risk highest?

Project visuals

Correlation between environmental conditions and fire size
Correlation between environmental conditions and fire size
Fires by month
Fires by month
Factors that most influence predicted severity
Factors that most influence predicted severity

What the project demonstrated

  • Combined environmental variables to profile wildfire risk across areas.
  • Analysed which conditions are associated with more severe fire events.
  • Presented findings visually so non-technical readers can act on them.

How similar work could help a business

The points below are illustrative applications of this kind of work — not results delivered for a client.

  • Risk profiling of this kind can inform insurance pricing, site selection and contingency planning.
  • Understanding severity drivers helps organisations direct prevention budgets where they matter most.
  • Clear visual reporting shortens the time between analysis and decision.

Measures this kind of work tracks

Risk factors analysedSeverity drivers identifiedAreas profiled