Threat Intelligence Risk Model

During my time with Hozint, a threat intelligence company, I developed a composite risk model to help security clients assess the severity and spatial impact of real-time threat events.

I analyzed thousands of intelligence reports generated during crisis events, extracting key variables such as:

Casualty count

Event type

Level of impact

Time and location data

Other contextual threat indicators

Using risk modeling theory from my graduate studies at Johns Hopkins SAIS, I created a weighted scoring system that calculated the relative threat level of each incident. I collaborated closely with the CTO and CEO to ensure the model met client needs — refining the structure and UX based on their feedback.

To visualize the results, I used coordinate data to create heat maps and dashboards in both Power BI and Tableau, enabling users to filter by location, event type, and time range.

Each week, I presented updates to upper management using PowerPoint, incorporating client-driven refinements. The model was ultimately well received and considered for integration into Hozint’s platform as a strategic feature for risk forecasting and situational awareness.

Tools Used: Excel, Power BI, Tableau, Geospatial Analysis, Risk Modeling, PowerPoint
Key Skills: Threat Intelligence, Data Visualization, Stakeholder Communication, Model Design