[NAME]

Transaction-monitoring anomaly detection (banking)

Anti-money-laundering anomaly detection for Italian banks: peer-group clustering, isolation forests, and behavioral feature engineering on transactional data.

Date
July 2026
Role
Data scientist
Tools
Python, scikit-learn

[PLACEHOLDER: 2–3 NDA-safe sentences — problem class, scale, my role, tools/models at high level. No results, no client names, no artifacts. Drafted by Claude-content, approved by the user.]