Business Intelligence Analyst
Current• Led a comprehensive slot utilization project, utilizing Databricks, SQL, Python, and Power BI to maximize resource efficiency, reallocate underutilized resources, and support cost-saving initiatives by optimizing clinic scheduling.• Developed a real-time reporting tool for inpatient discharges, enabling centralized data access with enhanced security across multiple departments, improving follow-up processes and supporting efforts to reduce readmissions.• Advanced patient readmission risk analysis by designing SQL-based data transformations, statistical models, and interactive Power BI dashboards to support proactive care interventions.• Directed the setup of a streamlined data pipeline using Visual Studio and DevOps for the Orthopedics Center of Excellence dashboard, achieving targeted performance measures aligned with DNV standards.• Built a predictive framework that leverages machine learning to pinpoint potential no-show patients, improving patient scheduling and resource planning.• Designed an advanced reporting structure using BI and Azure Databricks, contributing to improved patient engagement and follow-up processes.• Automated clinic workflows with a self-serve dashboard, reducing reliance on manual queries and significantly enhancing team efficiency.• Integrated diverse data sources within an IDE, establishing a streamlined data preparation and cleaning process to optimize operational workflows and minimize preparation time.