Data & AI
Cross-Market Anomaly Detection & Risk Intelligence
Large-scale anomaly detection framework analyzing multi-market transactional and behavioral datasets to identify fraud patterns, pricing manipulation, and irregular activity clusters. Graph-based relationship models and real-time scoring pipelines surface hidden network patterns across sellers, products, and user interactions. Explainable AI for transparent risk evaluation; drift detection keeps accuracy in production.
Stack
PythonGraph ModelsReal-time ScoringExplainable AIMLOps
Risk clusters surface out of millions of seller, product and user relationships in real time — every alert comes with a plain-English reason, not a black-box score.
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