
I am a medically trained graduate with a Master's in Health Informatics (May 2025) from Sacred Heart University. I bring a strong clinical foundation (MBBS, 2020) and technical skills in SQL, Power BI, Tableau, and EHR systems. Passionate about using informatics and data to improve care quality, optimize workflows, and support decision-making in clinical settings. Analytical and insightful Data Analyst known for productivity and efficiency in task completion. Specialize in data visualization, statistical analysis, and predictive modeling. Excel in problem-solving, critical thinking, and communication, ensuring successful project outcomes and team collaboration.
HL7
Hospital Readmission Predictor: Built a predictive model using SQL, Tableau, and Python (83% accuracy). Clinical Quality Dashboard: Created Power BI dashboards for CMS metrics and automated data refresh via SQL. GDM App Usability Study: Conducted mobile app evaluation and user survey analysis for gestational diabetes. Revenue Cycle Simulation: Modeled denial trends using Excel and Tableau with simulated billing data.
Public Health Outreach Volunteer, Assisted with COVID-19 awareness, screening, and telehealth coordination., Supported digital health literacy in the community.
Cardiovascular Physiology, School Journal, 2019, Co-author, blood pressure variability and clinical significance