I am a data analyst who loves turning complex healthcare data into clear, actionable insights. I specialize in SQL, Python, ETL pipelines, and BI dashboards to support risk adjustment, care management, and strategic decision-making, all while upholding HIPAA-compliant data handling. I’m a collaborative communicator who enjoys partnering with actuarial, clinical, and operations teams to drive data-driven outcomes. In my work, I combine cloud platforms, ML libraries, and scalable data-processing to automate analytics workflows and improve data reliability. I thrive on translating business questions into robust analytics solutions and delivering clear storytelling through dashboards and reports.

Bharath Kumar Vuyyuru

I am a data analyst who loves turning complex healthcare data into clear, actionable insights. I specialize in SQL, Python, ETL pipelines, and BI dashboards to support risk adjustment, care management, and strategic decision-making, all while upholding HIPAA-compliant data handling. I’m a collaborative communicator who enjoys partnering with actuarial, clinical, and operations teams to drive data-driven outcomes. In my work, I combine cloud platforms, ML libraries, and scalable data-processing to automate analytics workflows and improve data reliability. I thrive on translating business questions into robust analytics solutions and delivering clear storytelling through dashboards and reports.

Available to hire

I am a data analyst who loves turning complex healthcare data into clear, actionable insights. I specialize in SQL, Python, ETL pipelines, and BI dashboards to support risk adjustment, care management, and strategic decision-making, all while upholding HIPAA-compliant data handling. I’m a collaborative communicator who enjoys partnering with actuarial, clinical, and operations teams to drive data-driven outcomes.

In my work, I combine cloud platforms, ML libraries, and scalable data-processing to automate analytics workflows and improve data reliability. I thrive on translating business questions into robust analytics solutions and delivering clear storytelling through dashboards and reports.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate

Language

English
Fluent

Work Experience

Data Analyst at Cigna Healthcare Group
February 1, 2025 - Present
Integrated multi-source healthcare datasets (claims, benefits, EHR, provider networks) using SQL, Python, AWS S3, Redshift, and BigQuery, ensuring HIPAA compliance, data governance, and high-quality analytical datasets for reporting and modeling. Built automated ETL pipelines using Apache Airflow, Databricks, Python, and SQL, streamlining ingestion, transformation, anomaly detection, and reconciliation workflows — reducing manual QA effort by 50% and improving end-to-end data reliability. Designed advanced Power BI and Excel dashboards to monitor population health outcomes, chronic disease progression, provider network performance, utilization KPIs, and revenue metrics — boosting analytics accuracy by 99%. Conducted deep-dive cost-driver, utilization, and risk analysis using Python (Pandas, SciPy), statistical modeling, and pattern detection to identify high-risk members, overutilization patterns, and potential fraud/waste/abuse scenarios. Collaborated with actuarial, clinical oper
Data Analyst at Cyient
August 1, 2019 - December 1, 2022
Engineered scalable data-processing workflows using Databricks, Google Cloud, Apache Hadoop, and AWS to analyze large healthcare datasets (claims, EHR, provider networks, authorizations). Improved processing speed and reliability across high-volume clinical and operational workloads. Built and maintained automated ETL pipelines using Talend, SSIS, and NiFi, integrating multi-source healthcare data with 30% improved accuracy through validation, reconciliation, and PHI-secure transformations. Strengthened data reliability for downstream reporting and predictive analytics. Performed advanced analytics using SQL, Python, Pandas, SciPy, executing claim-level audits, anomaly detection, cost-driver analysis, and utilization trends. Identified spend outliers, billing discrepancies, and operational inefficiencies to support data-driven decisions. Designed dynamic Power BI and Tableau dashboards tracking claims volume, cost-per-member, utilization metrics, turnaround time, and provider performan

Education

Master's in Computer and Information Sciences at University of Texas at Arlington
January 1, 2023 - December 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate

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