Luther Eze

Developed and implemented an automated data pipeline using Python, enhancing data reliability and reducing manual intervention. Optimized the RAG system for improved performance and refined the vector database component for accurate information retrieval.

Developed various data science applications including an LLM Question and Answering application and a custom ChatGPT interface. Built deep learning models for customer churn prediction and text classification.

Led targeted marketing optimization and developed predictive models to enhance customer segmentation and reduce cheater detection time. Collaborated with MLOps for deployment, resulting in increased brand recognition and player engagement.

Developed and deployed an automated forecasting model and customer feedback dashboard using Python and PowerBI, significantly reducing manual labor. Collaborated with the development team to create an SQL database for customer feedback.

Conducted data analysis on sales figures and developed an interactive dashboard for data visualizations using Dash. Predicted customer interest in manga genres through various machine learning models.

Grade: Merit

Completed a Master of Science in Health Management with a focus on the integration of health systems and management practices. Achieved a Merit classification.

Grade: First Class

Earned a Bachelor of Engineering (Hons) in Biomedical Engineering with Placement, achieving First Class honors. The program included extensive practical and theoretical training in biomedical systems.