Hemanth B. Email & Phone Number

Iowa, United States

Data Analyst | Genesis Health System | Sep 2023 – PresentAt Genesis Health System, I streamlined claims processing workflows, improving efficiency by 25% and reducing billing errors, leading to enhanced patient satisfaction. I developed machine learning models using TensorFlow and Scikit-learn, applying Random Forest and SVM algorithms to predict patient outcomes and detect fraud, reducing claim rejections by 15% and fraudulent claims by 10%. I created Power BI dashboards to visualize key metrics, enabling data-driven decision-making. By leveraging AWS services and PostgreSQL databases, I reduced data retrieval times by 40%, enhancing patient care analytics. Leading JAD sessions, I collaborated with stakeholders to define data requirements, reducing project timelines by 20%. Additionally, I automated data processes using Alteryx and conducted A/B testing, leading to cost reductions and improved patient satisfaction. With a strong focus on regulatory compliance, especially in healthcare, I ensure that data management aligns with industry standards like HIPAA and FHIR.

India

During my time at Infosys, I spearheaded the development of a financial risk analysis platform, improving prediction accuracy and reducing forecasting time by 20%. Using Python and NumPy, I optimized data extraction and transformation workflows, leading to a 30% reduction in analysis time. My efforts in data cleaning and manipulation using Pandas enhanced the accuracy of risk assessments, further streamlining processes. I also designed and implemented Tableau dashboards that visualized key financial metrics, which improved decision-making efficiency by 25%. I managed large-scale financial datasets using Oracle, ensuring seamless data warehousing and efficient reporting. Additionally, I conducted data mining to identify patterns in historical data, supporting strategic decision-making and improving predictive accuracy. My contributions to data warehousing architecture enhanced integration and storage optimization.