Hospital Readmission Analysis (Academic Project)
Built and cleaned hospital readmission datasets for risk-factor analysis and subsequent reporting. Transformed raw records into analysis-ready data by applying cleaning steps and normalization approaches before visualization. Used structured outputs to support identification of drivers of 30-day readmissions and to recommend strategies for improving care quality. • Performed data cleaning and statistical preparation on publicly available datasets. • Visualized outcomes with Power BI dashboards to communicate findings. • Applied R workflows (tidyverse, ggplot2) to analyze readmission patterns. • Summarized results to identify risk factors for 30-day readmissions.