Saikiran Muthyapu
Data Analyst @Hartford HealthCare
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WORK HISTORY
Data Analyst @Hartford HealthCare
CT, US
At Hartford HealthCare, I contributed as a Data Analyst to a data-driven initiative aimed at improving medication adherence among hypertension patients. I worked with clinical and product teams to analyze over 15 million records of EHR, claims, and pharmacy data using SQL and Python. Leveraging machine learning with TensorFlow, I developed a predictive model that improved early intervention targeting by 35%. I also built interactive dashboards in Power BI and Looker, enabling real-time monitoring of KPIs like MPR and PDC. Using AWS Glue and Lambda, I automated ETL workflows and ensured HIPAA-compliant handling of sensitive healthcare data. This project enhanced refill compliance and reduced patient drop-off by 18%, supporting better outcomes and cost-effective care delivery.
EDUCATION
Pragathi Vidyanikethan High School
10th Class
Sri Kakathiya Junior College
+1,+2
Lovely Professional University
Integrated BBA-MBA
University of New Haven
Master's degree
ABOUT SAIKIRAN MUTHYAPU
I’m a Data Analyst with over 3 years of experience transforming complex healthcare and financial data into actionable insights. My expertise lies in leveraging Python, SQL, Power BI, and cloud platforms (AWS, Azure) to deliver data-driven solutions that improve operational efficiency and support strategic decision-making. At Hartford HealthCare, I analyzed over 15 million rows of patient-level data to uncover medication adherence patterns and built predictive models using TensorFlow to identify at-risk patients—leading to a 35% improvement in early intervention targeting. I also designed Power BI and Looker dashboards for executive KPIs and automated ETL pipelines using AWS Glue and Lambda, ensuring HIPAA compliance. Previously at HCL Technologies, I developed financial dashboards for CLO portfolio performance and conducted in-depth analysis of syndicated loan data. My work supported structured credit deal modeling and improved data accuracy by 25% through automated ETL pipelines with Alteryx and SQL Server. I’m passionate about applying data science to solve real-world problems in healthcare and finance, with a strong focus on compliance, performance optimization, and cross-functional collaboration.
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