Summary of Programme:

• Secured Best Use of External Data Prize at Imperial DataFest (American Statistical Association x Imperial College Department of Mathematics), focusing on obstructive sleep apnea (OSA) patient journey mapping and healthcare disparity analysis.
• Integrated 2020 RUCA census external data with 4 years of multi-million de-identified hospital records; executed geospatial visualization, stratified urban-rural quantitative analysis, and builtLASSO regression (5-fold cross-validation, L1 regularization) & logistic regression models to isolate key drivers of care gaps.
• Quantified a 2.4x urban-rural gap in high-risk patient OSA diagnosis rates, plus material disparities in 30/90-day follow-up continuity and digital health adoption; delivered 3 evidence-based, actionable healthcare service optimization strategies.

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