Clinical Data Analytics

Cultivated Projects and Case Studies

Methodical data pipelines, multi-cohort validation, and structured analysis bridging clinical workflows with quantitative modeling.

SQL & Python

Primary Stack

Multi-Cohort

EHR Validation

Reproducible

Pipeline Architecture

Featured Case Study

Perinatal Risk Stratification Model

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.

Project Archive

Systematic Analytics in Practice

Workflow Optimization

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.

Resource Utilization

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.

Data Quality

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.