Data Analyst — Optum (Claims denial analytics and data quality validation)
ClassificationPerformed healthcare claims data validation and anomaly flagging as part of an end-to-end denial analytics system, enabling higher-quality downstream reporting and decision support. Engineered and maintained a unified SQL data model for payer mix, utilization, and denial pattern analysis to support consistent stakeholder outputs. Applied Python-based null checks, outlier detection, and statistical validation to ensure dataset accuracy prior to dashboard delivery. • Validated multi-source claims attributes and billing records for denial analytics. • Flagged anomalies and assessed data quality on large clinical datasets using Python. • Reconciled transformed datasets to ensure reporting consistency across dashboards. • Built secure, role-based analytics views to support self-service consumption of curated results.