Operational alerts need to surface unusual behavior without overwhelming support teams with false positives.
MY CONTRIBUTION
What I built.
Built anomaly-detection models for IT support data.
Worked on data pipelines supporting internal ML automation.
Focused on improving the usefulness of anomaly signals for support operations.
THE RESULT
45%fewer false-positive alerts
Applied anomaly detection to IT support data to improve the usefulness of operational alerts.
Selected work from my engineering role at Synopsys. Impact figures are reported from this work; the companion examples below use synthetic data.
CODE & EVALUATION
Inspect the work behind the explanation.
SYNTHETIC COMPANION EXAMPLE
Classification accuracy and coverage for alert labels
A new, runnable example that scores saved predictions against expected outputs. It uses fictional data and illustrates evaluation mechanics; it does not reproduce the production system or substantiate the impact figures above.
