Recently Published
Cardiovascular Disease Risk Assessment
Recently worked on a healthcare analytics project in R involving Exploratory Data Analysis, Correlation Analysis, and Multiple Linear Regression to examine cardiovascular and metabolic health indicators. The analysis process included data cleaning, handling missing values, assumption testing, Box-Cox transformation, regression diagnostics, visualization, and interpretation of statistical outputs. All interpretations and supporting discussions were grounded on the actual statistical results obtained from the dataset and supported with related literature to provide evidence-based analytical insights.