Scorecard Drift Detection & Monitoring System

I designed and implemented the scorecard drift detection and monitoring system and was responsible for its active operation in production. The solution continuously tracks data distributions, feature stability, and score outcomes, surfacing early warning signals when input data or model behavior deviates from expected ranges. Automated alerting flows enable risk, product, and data teams to react before degradation impacts customers or regulatory commitments, turning scorecard performance monitoring into a proactive, repeatable process.