Chandra Sekhar
Data Analyst | 8+ Years | SQL, Python, R, ETL, Cloud (AWS, Azure) | Healthcare & Financial Analytics | ML, BI (Tableau, Power BI)
- Role
- Data Analyst at Cigna Healthcare
- Location
- Austin, TX, US
- LinkedIn followers
- 500 followers
About Chandra Sekhar
Systems Analyst | AI & Data Solutions professional with 5+ years of experience…
Experience
Data Analyst
Oct 2024 — Present · TX, US
Analyzed large volumes of healthcare claims and financial data using SQL and Python, uncovering trends, detecting fraud, and identifying anomalies that directly improved cost optimization efforts.• Built and automated ETL pipelines using AWS Glue, Lambda, and Redshift, enabling scalable claims data processing with reduced downtime.• Designed and implemented data models for claims and policy data, establishing clear relationships between patients, providers, and billing entities.• Developed predictive models in Python and R for customer lifetime value, claims forecasting, and fraud detection, improving risk management strategies.• Performed statistical testing and A/B experiments on claims workflows to evaluate operational efficiency improvements and product features.• Optimized SQL stored procedures and queries, cutting report execution time by 40% and enabling faster insights for decision-makers.• Built interactive Tableau dashboards to visualize claims trends, patient outcomes, and risk indicators, providing executives with actionable insights.• Applied row-level security (RLS) and role-based permissions in Tableau to ensure HIPAA compliance when handling sensitive patient and claims data.• Partnered with actuarial and finance teams to develop advanced risk-scoring models and revenue projections, integrating them into BI dashboards.• Migrated legacy reporting systems to AWS Redshift and Azure SQL, standardizing and modernizing reporting infrastructure.• Conducted ad-hoc queries and deep-dive analysis for compliance audits, executive reports, and root-cause investigations of claim anomalies.• Ensured regulatory compliance with SOX, HIPAA, and GDPR by establishing robust governance frameworks.• Streamlined data integration from multiple financial systems and APIs into a unified data lake, improving reporting accuracy and speed.
Education
KL University
Bachelor's degree
University of Missouri-Kansas City
Master's degree
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