🛡️ Project 1: Identity & API Anomaly Detection

  • The Challenge: Identifying deviations in massive API traffic that signal security threats or operational failures.

  • The Solution: Implemented an automated monitoring system using unsupervised machine learning to establish behavioral baselines.

  • The Impact: Enabled proactive identification of "point" and "collective" anomalies, reducing root cause analysis time and safeguarding user experience.

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Churn Modeling