Barakah Yusuf

I build predictive models and interactive dashboards using Python, Power BI, Excel, and scikit-learn, turning raw datasets into clear analytical outputs. In independent data science projects, I developed a loan eligibility model that achieved 80.83% test accuracy, and compared nine regression models for student score prediction — Linear and Ridge Regression performed best, reaching an R² of 0.88. I've also cleaned a 21,000-row financial transactions dataset down to a final set of 14,617 records, using boxplots and the IQR method to identify outliers in transaction amounts. As a Microbiology student at Fountain University, I'm deepening my Python and data science skills through the IBM Data Science Professional Certificate, and I'm especially interested in applying analytics, machine learning, and visualization to biological and healthcare problems.