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Data Breach Prediction Model

Predictive regression project using real breach incident data to identify key indicators of future security incidents.

Data Breach Prediction Model

Stack: Regression Modeling, Excel Feature Engineering

This project focused on using historical incident data to estimate breach likelihood and identify the strongest predictive signals.

What I worked on

  • Built a predictive regression model from real breach incident records
  • Engineered features from raw/unstructured data in Excel
  • Evaluated which variables had the strongest predictive value
  • Identified prior breach history as a leading indicator of future incidents

Project PDF

Open the PDF — or read it in the viewer below on desktop.

This post is licensed under CC BY 4.0 by the author.