Cultivated Projects and Case Studies
SQL & Python
Primary Stack
Multi-Cohort
EHR Validation
Reproducible
Pipeline Architecture


Data Cleaning & Metric Governance
Established strict data dictionary protocols and automated validation scripts to ensure auditability and compliance with clinical governance frameworks.
Multi-Cohort EHR Validation Pipeline
Extracted and cleaned longitudinal electronic health records across disparate hospital systems. Implemented rigorous null handling, feature engineering for physiological variables, and validated predictive risk models using cross-validation to minimize false-negative rates in high-stakes triage environments.






Systematic Analytics in Practice
Hospital Triage Bottleneck Analysis
Analyzed emergency department arrival-to-provider timelines across three urban medical centers. Built automated SQL extraction scripts and interactive Tableau dashboards to surface operational friction points, reducing wait time variance by twenty percent.
Inpatient Bed Capacity Forecasting
Developed a time-series forecasting model using Python to predict seasonal surges in inpatient admissions. Translated complex historical utilization rates into actionable staffing recommendations for clinical nursing leadership.
Clinical Documentation Auditing Pipeline
Created an automated auditing script to detect documentation discrepancies and missing diagnostic metadata in electronic health records, ensuring high-fidelity datasets for downstream machine learning initiatives.
Inspect GitHub Repositories and SQL Documentation
Explore reproducible analytical codebases, detailed data dictionaries, and structured case study documentation.
