
Advanced Health Systems Analytics & Mobile Reporting
Contract
Summary
In this project, I transformed a fragmented health dataset into a multi-layered analytical ecosystem, focusing on systemic risk factors and organ health stability. Some technical achievements in this project include: ▶️ Architecting the Data Model: Managed a full ETL lifecycle in Power BI, converting raw patient records into a structured schema that supports deep cross-filtering between lifestyle behaviors and clinical conditions. ▶️ Predictive Risk Modeling: Developed an AI-driven Risk Prediction Model to identify top-tier influencers. My analysis shows patients’ health category and their likelihood to face organ damage, providing clear targets for clinical intervention. ▶️ Dynamic Simulation Engine: Built a sophisticated "What-If" Scenario tool. Using DAX-integrated sliders for smoking and lifestyle reduction, I created a real-time simulation that calculates the immediate reduction in projected risk, turning data into a tool for patient advocacy. ▶️ Comparative Benchmarking: Engineered DAX measures to automatically compare individual patient metrics against moving population averages, identifying outliers through Anomaly Detection to prevent medical oversights. ▶️ Behavioral Correlation Mapping: Analyzed the behavioural patterns such as smoking intensity funnel to visualize the tipping point where lifestyle habits move a patient from Moderate to Critical risk.