Nikhil Reddy Chandupatla

Data Analyst @Kaiser Permanente

FL, US

Led a comprehensive initiative to analyze diabetes prevalence across 50 facilities, resulting in a 20% reduction in diabetes-related hospitalizations within one year.• Developed complex SQL queries to extract and clean patient data from multiple databases, improving data integrity and consistency by 30%.• Utilized Python with libraries such as Pandas and Scikit-learn to build predictive models that identified high-risk patients, increasing early intervention rates by 25%.• Integrated data from various sources, including EMRs and billing systems, using ETL tools like Talend, improving data consolidation efficiency by 35%.• Created interactive Tableau dashboards that visualized health trends, enabling real-time monitoring and reducing manual reporting time by 40%.• Developed automated reports using SQL Server Reporting Services (SSRS) to streamline the reporting process, reducing manual intervention by 50% and improving report turnaround time.• Designed and implemented A/B tests for targeted outreach programs, leading to a 15% increase in patient engagement in preventive care initiatives.• Conducted extensive data mining on historical health records to identify predictors of diabetes onset, enhancing the predictive accuracy of interventions by 18%.• Utilized Amazon Redshift for high-performance data warehousing, enabling the analysis of over 5 million patient records daily and reducing query response time by 40%.• Participated in data governance initiatives, ensuring compliance with HIPAA regulations and enhancing data security protocols, which led to a 25% decrease in data breach incidents.