Clementina Fakornam Klomey
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This project explores hospital efficiency using real-world health data. It visualizes key metrics such as average length of stay, cost per discharge, severity of illness, and patient outcomes across multiple hospitals. The dashboard helps identify trends, compare performance,...
I conducted a data-driven study on predicting and understanding hair loss using a combination of data visualization and machine learning. The project explored how factors such as age, stress, medical conditions, and nutritional deficiencies contribute to hair loss. Using...
This project explores hospital efficiency using real-world health data. It visualizes key metrics such as average length of stay, cost per discharge, severity of illness, and patient outcomes across multiple hospitals. The dashboard helps identify trends, compare performance,...
Developed a machine learning model to predict diabetes risk using the Pima Indians dataset. Cleaned and analyzed patient health data, built Random Forest and Logistic Regression models, and identified key predictors such as glucose, BMI, and age. Created interactive...
Developed a data-driven gym operations dashboard that analyzed membership trends, attendance patterns, and revenue data to generate actionable insights. The project helped gym owners and managers optimize resource allocation, identify peak hours, improve member retention, and...
