Eniola Gbelela
Liverpool,Merseyside
Summary
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.
Overview
5
5
years of professional experience
5
5
years of post-secondary education
Work history
Teaching assistant
Beckfoot Thornton School
Bradford, West Yorkshire
2023.11 - 2024.11
- Provided additional support to students with special educational needs, ensuring inclusivity.
- Maintained up-to-date records of pupil progress, tracking individual development effectively.
- Participated in teacher-parent conferences regarding students' progress or problems.
- Facilitated active learning environments with engaging teaching aids and resources.
- Prepared classroom materials to facilitate efficient lessons.
- Assisted children individually or in small groups to help them master assignments and reinforce learning concepts presented by teachers.
Operations coordinator
Lantbruk Global Integrated Services Limited
Lagos, Nigeria, Ikeja
2019.11 - 2023.02
- Delivered multiple projects on time by effective planning and coordination.
- Implemented new systems for improved workflow and productivity.
- Assisted in budget preparation, managing costs effectively.
- Streamlined internal communication channels for better information flow across teams.
- Coordinated projects for successful completion within set timelines.
- Collaborated with various departments to ensure smooth operations.
Education
Master of Science - Computer Science and Artificial Intelligence
University of Bradford
Bradford 2023.09 - 2024.10
Bachelor of Science - Computer Science
Adekunle Ajasin University
Ondo state, Nigeria 2015.08 - 2019.08
Skills
- Programming: Python, Java, C, SQL
- AI/ML Frameworks: TensorFlow, PyTorch, scikit-learn
- Data Science Tools: Pandas, NumPy, Jupyter, Power BI
- Dev Tools: Git, Docker, Linux
- Problem-solving
- Agile methodologies, teamwork, communication skills
Accomplishments
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
Timeline
Teaching assistant
Beckfoot Thornton School
2023.11 - 2024.11
Master of Science - Computer Science and Artificial Intelligence
University of Bradford
2023.09 - 2024.10
Operations coordinator
Lantbruk Global Integrated Services Limited
2019.11 - 2023.02
Bachelor of Science - Computer Science
Adekunle Ajasin University
2015.08 - 2019.08