Analytical and detail-oriented professional with a Master’s in Health Informatics and hands-on experience in data analysis, healthcare systems, and EHR management. Proficient in SQL, Python, and data visualization tools (Power BI, Tableau) to transform complex datasets into actionable insights. Adept at communicating data-driven insights to non-technical stakeholders, and collaborating cross-functionally in Agile environments.
1. Optimizing Clinical Trial Recruitment Using EHR Data
Analyzed Electronic Health Record (EHR) data to streamline patient recruitment for clinical trials. Used SQL to identify eligible patients based on inclusion/exclusion criteria and assessed patient eligibility for ongoing trials. Developed Power BI dashboards to visualize recruitment progress and track key performance metrics.
Outcome: Improved recruitment efficiency by 20%, ensuring timely achievement of clinical trial milestones.
2.Analyzing Emergency Department (ED) Utilization Patterns to Reduce Wait Times
Evaluated ED visit data to identify patterns, peak hours, and frequent diagnoses to optimize patient flow. Applied SQL and Python to perform EDA and statistical analysis, identifying bottlenecks and resource inefficiencies. Designed interactive Tableau dashboards to present actionable insights for hospital administrators.
Outcome: Reduced patient wait times by 12% through improved staffing and triage protocols.
Programming & Databases: SQL, Python, R ·
Data Analysis & Visualization: Excel, Power BI, Tableau ·
Statistical Techniques: Descriptive/Inferential Statistics, Hypothesis Testing, Predictive Modeling