Nancy Uwera

Heart Disease Prediction, Developed and implemented a machine learning regression model to predict the presence of heart disease in patients. Demonstrated proficiency in feature engineering and data preprocessing techniques to enhance model performance. Applied a regression model for its ability to provide quantitative predictions, enhancing the precision of the heart disease prediction. Communicated findings effectively through data visualization and interpretation, facilitating better understanding for stakeholders (https://github.com/nuwera2/Heart-Failure-Prediction).

Sleep Health and Lifestyle Analysis, Implemented statistical modeling techniques, including correlation analysis to assess linear relationships, and developed regression models to quantify the influence of sleep health and lifestyle factors on sleep disorder prevalence. Evaluated the performance of regression models using key metrics such as R-squared, adjusted R-squared, and mean-squared error. Conducted a thorough assessment of model assumptions and performed diagnostics to ensure model validity. Produced a detailed research report summarizing findings, including comprehensive data analysis, model results, and interpretation (https://github.com/nuwera2/Sleep-disorders-project).

SAS Visual Business Analytics Specialist