Jahnavi Adabala
Sr Data Analyst @Cigna Healthcare
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WORK HISTORY
Sr Data Analyst @Cigna Healthcare
US
EDUCATION
CMR Engineering college
Bachelor's degree, Computer Science and Engineering
University of Connecticut School of Business
Master's degree, Business analytic and Project management
ABOUT JAHNAVI ADABALA
As a Data Analyst with 5 years of experience across healthcare, bioinformatics, and retail, I specialize in transforming complex datasets into actionable insights that drive measurable impact. I hold a Master’s degree in Business Analytics and Project Management from the University of Connecticut and bring deep expertise in SQL, Python, and modern data engineering pipelines.Currently, I work at Cigna Healthcare as a Sr. Data Analyst, where I parse HL7 and FHIR data, implement PHI de-identification frameworks, and analyze claims and EHR data to uncover chronic condition patterns and preventive care gaps. My work in A/B testing frameworks has led to a 13% reduction in avoidable ER visits, and I’ve built interactive Tableau dashboards to enable data-driven population health strategies.Previously at Albert Einstein College of Medicine, I built and maintained large-scale ETL pipelines that consolidated 10M+ clinical records from databases populated with data extracted from Epic, Clarity, and Caboodle. Designed and deployed a cancer registry database from scratch, validated IRB-approved datasets with 95% accuracy, and created detailed data dictionaries that streamlined onboarding and improved research readiness across 50+ oncology projects.My earlier experience at Accenture strengthened my skills in e-commerce and retail analytics, where I developed automated ETL pipelines, conducted customer segmentation and market basket analysis, and optimized A/B testing frameworks that drove a 15% uplift in conversion rates.I am passionate about bridging technical expertise with business strategy, whether that means enabling population health management, supporting oncology research, or improving customer engagement. My goal is to continue leveraging data to solve high-impact problems at the intersection of healthcare and business.
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