Vedanth Reddy Gona
Healthcare Data Analyst @Optum
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WORK HISTORY
Healthcare Data Analyst @Optum
Eden Prairie, MN, US
Healthcare Analytics & Insurance• Engineered automated ETL pipelines using Python and SQL, consolidating data from 5+ sources and improving dataset accessibility for reporting by 30%. • Constructed interactive Powerbi dashboards tracking 15+ KPIs for clinical and operations teams, enabling real-time monitoring of member eligibility and claims trends. • Executed statistical analysis on healthcare program effectiveness, with findings directly used to adjust strategies, reducing average patient outreach cost by 12%. • Established a new data validation protocol within analytics workflows, decreasing data discrepancies in monthly reports by 25%. • Translated business requirements into technical specifications for 3 cross-functional projects, delivering analytical frameworks that cut standard reporting time by 15%. • Collaborated with data engineers to document and improve existing data lineage, enhancing transparency for compliance audits. • Presented monthly insights on patient care utilization patterns to department heads, informing resource allocation decisions. • Implemented a monitoring system for key data pipelines using Python scripts, reducing unexpected downtime by 60%. • Created documentation and training materials for new Tableau users, increasing dashboard adoption across non-technical teams by 35%. • Analyzed provider network performance data to identify gaps in coverage, supporting contract negotiations that expanded service areas.
EDUCATION
Osmania University
Bachelor of Science Osmania University (2021)
University of New Haven
Master of Science in Data Science University of New Haven (2025), 2+ years of analytics experience with Python, SQL, Power BI, Excel, and cloud.
ABOUT VEDANTH REDDY GONA
Healthcare Data Analyst with 4 years of experience applying Python, SQL, and Power BI to deliver data-driven insights across healthcare and insurance domains. AHIMA Certified Healthcare Data Analyst (CHDA) with strong understanding of healthcare data standards, HIPAA compliance, and clinical and claims workflows.Experienced across the full analytics lifecycle including data extraction, cleaning, validation, ETL pipeline development, dashboarding, and KPI reporting. Hands-on exposure to healthcare datasets such as claims, patient utilization, clinical metrics, and provider performance data.Skilled in translating complex datasets into clear, actionable insights for business and leadership teams, reducing reporting turnaround time and improving data quality. Comfortable working with cross-functional stakeholders in regulated healthcare environments.Technical focus areas include Python (Pandas, NumPy), SQL, Power BI, Excel automation, data modeling, and cloud-based analytics platforms.
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