I’m a Data Analyst with over four years of experience helping healthcare and retail organizations leverage data to drive impactful business decisions. With a Master’s in Business Analytics from Kent State University and a Bachelor’s in Mathematics, Statistics, and Computer Science from Osmania University, I combine strong analytical skills with a technical background to deliver meaningful insights that boost operational efficiency and improve performance.Currently at Ohio Health, I design and maintain ETL pipelines, build real-time dashboards, and conduct statistical analysis to streamline healthcare metrics like patient throughput and bed occupancy. Using tools such as SQL Server Integration Services (SSIS), Power BI, and Amazon Redshift, I improve data processing and reporting efficiencies by up to 40%. My expertise with SQL, Python, and visualization platforms like Power BI and Tableau has led to measurable improvements in patient satisfaction, up by 20%, by allowing our teams to respond quickly to data insights.Previously at Adons Softech, I led a data analytics project focused on improving customer satisfaction for a retail client. By analyzing over 2 million interactions, I identified key drivers that boosted retention by 15% and created predictive models in Scikit-learn with over 85% accuracy. My work spans SQL, Python, and R, alongside tools like MySQL, PostgreSQL, Hadoop, and machine learning libraries such as TensorFlow. I thrive in collaborative, Agile and Waterfall environments, and I’m always looking to connect with others passionate about data-driven solutions in healthcare and retail.