Data Analyst at Optum

Design and optimize scalable ETL pipelines using Apache Airflow, Python, and SQL, processing multi-source clinical data and reducing processing time by 35%. Lead HIPAA & SOX compliance reviews, conduct audits, and implement role-based permissions, lowering potential data breaches by 30%. Develop 15+ interactive dashboards in Power BI and Tableau, monitoring hospital KPIs and contributing to an 18% reduction in patient discharge delays. Enhance EHR analytics by integrating Cerner Millennium data into AWS Redshift/S3, improving query latency by 40% for faster clinician access. Build predictive patient segmentation models with Python to identify high-risk populations, reducing emergency room visits by 12%. Analyze chronic disease program trends, inform expansion strategies for 12,000+ members, and correct 4,500+ provider-member mapping inconsistencies.

Data Analyst at Deloitte Consulting

Designed and delivered regulatory compliance and risk monitoring dashboards for Tier-1 banking clients using Tableau, Power BI, and SQL. Cut reporting turnaround time by 50%, enabling real-time risk monitoring and faster decision-making during audits. Fraud Detection & ML Models: Developed production-ready KYC/AML anomaly detection models in Python for 1M+ customers, improving detection accuracy by 22% and strengthening anti-fraud strategies. ETL Automation & Data Pipelines: Engineered automated ETL workflows in Informatica & Snowflake, replacing manual spreadsheets, eliminating 70% of manual tasks, and ensuring full traceability for financial reporting. Customer Retention Analytics: Built and tuned customer churn prediction models achieving 85% accuracy, enabling targeted retention campaigns and increasing retention rates by 15% in 6 months. Medical Claims & Cost Analysis: Cleaned and transformed 500K+ rows of Medicare claims & encounter data across 3 U.S. states, supporting cost-of-c