In this project, I built a fully automated workflow to generate a complete analytical report, including demographic tables, visualizations, and regression results. I used tools like Make, Git, GitHub, renv, and Docker to ensure the entire final report is reproducible and easy to run from start to finish.
For my capstone project with CARE Ethiopia, I examined whether there is an association between WASH-based hygiene practices and diarrheal disease prevalence. Using a dataset of 977 individuals, I conducted statistical analyses to explore this relationship.
My findings showed that access to a handwashing facility was associated with nearly a 50% reduction in diarrheal disease prevalence compared to those without access. This project strengthened my skills in data analysis, interpretation, and communicating public health findings through a research poster.
In this project, I developed an interactive dashboard using my capstone dataset on WASH. The dashboard presents key results from my analysis and visualizes the distribution of selected covariates, making the findings more accessible and easier to interpret.
In this project, I attended a workshop that taught me how to conduct
linear regression analysis using R and also Explored a dataset
efficiently with skimr, Produced a publication-ready
descriptive table with table1, Fitted, compared, and
interpreted linear regression models with lm(), Checked
regression assumptions with diagnostic plots, Reported model results as
formatted tables and plots with sjPlot