Eniola Gbelela

Recent master's degree graduate in Computer Science and Artificial Intelligence with strong programming skills in Python and Java. Experienced in implementing AI/ML solutions using TensorFlow and scikit-learn, alongside practical projects in fraud detection and expense tracking. Committed to delivering innovative software solutions while collaborating effectively in team environments.

1. Credit Card Fraud Detection System
Tools: Python, scikit-learn, Pandas, Jupyter Notebook
Built a machine learning model to detect fraudulent credit card transactions using a real-world dataset.

• Preprocessed highly imbalanced data using SMOTE
• Trained models including Logistic Regression, Random Forest, and XGBoost
• Achieved 99% precision and 96% recall on fraudulent transactions
• Evaluated using confusion matrix, ROC-AUC, and cross-validation

Student Expense Tracker App
Tools: Python, SQLite, Tkinter / Flask (depending on tech stack used)
Developed a desktop/web application to help students manage and visualize their monthly expenses.

• Users can add, categorize, and delete expenses
• Features monthly summaries and pie chart visualizations
• Used SQLite for local storage and simple authentication for user access
• Designed with a user-friendly and responsive interface