Senior Data Analyst at Humana

Engineered end-to-end healthcare claims data quality and reporting framework, validating and transforming complex datasets while ensuring HIPAA compliance; improved claim error detection speed and operational efficiency for claims processing teams. Developed predictive models and clustering analyses to identify high-risk members and reduce unnecessary ER visits by 15%, collaborating with care coordination teams to optimize utilization. Built interactive dashboards to track claim trends, utilization, and prescription adherence, providing leadership with real-time visibility and aligning KPIs with healthcare operations. Partnered with clinical and care management teams to analyze patient utilization and optimize care pathways, shifting cases from inpatient to outpatient and enhancing preventive care programs, resulting in a 20% improvement in efficient healthcare delivery. Implemented automated data pipelines and validation rules for multi-source datasets to ensure data integrity and reg

Data Analyst at Persistent Systems

Orchestrated the integration of patient claims, admissions, and discharge data into a unified warehouse using SQL and Python, streamlining healthcare reporting pipelines and improving accuracy across cross-functional teams. Engineered automated data cleaning and validation frameworks to remove duplicates, standardize medical codes, and flag anomalies, elevating claims accuracy and patient care monitoring effectiveness. Designed and deployed interactive Power BI dashboards visualizing fraud trends, readmission rates, and occupancy patterns while ensuring HIPAA compliance. Analyzed patient claims and readmission data to identify bottlenecks, reducing fraudulent claims by 18% and improving readmission outcomes by 12%. Delivered actionable insights by transforming raw data into predictive and descriptive analytics solutions, boosting operational efficiency by 25% and patient satisfaction by 20%.

Junior Data Analyst at Mphasis

Supported the creation of a healthcare data validation framework by cleansing and standardizing multi-source patient and claims datasets, improving data accuracy and reducing error detection time by 35%. Developed automated workflows for medical claims and patient records, ensuring HIPAA compliance and streamlining reporting, enabling clinical teams to quickly identify discrepancies and reduce manual intervention. Built interactive Power BI dashboards to monitor patient admission trends, claim approval accuracy, and anomaly detection, empowering healthcare administrators to make evidence-based decisions and strengthen compliance. Documented validation rules for ICD-10 and CPT codes to maintain data lineage, ensuring reproducibility and increasing team efficiency by 25%. Monitored high-volume admissions and claims datasets, detecting fraudulent patterns and inconsistencies to provide actionable insights that improved transparency and outcomes.

Senior Data Analyst at Humana

Engineered an end-to-end healthcare claims data quality and reporting framework using SQL, Python, and Power BI to validate and transform complex datasets while ensuring HIPAA compliance; improved claim error detection speed and operational efficiency for claims processing teams.

Data Analyst at Persistent Systems

Orchestrated integration of patient claims, admissions, and discharge data into a unified warehouse using SQL and Python; automated data cleaning and validation frameworks; designed and deployed interactive Power BI dashboards visualizing fraud trends, readmission rates, and occupancy patterns; improved claims accuracy and reduced fraudulent claims by over 18% and improved readmission outcomes by over 12%; delivered actionable insights resulting in improved operational efficiency by over 25% and increased patient satisfaction by over 20%.