Boaz Lutumba

Final Year Computer Science and Applied Mathematics student with a strong quantitative and analytical foundation, complemented by hands-on experience in software development. I enjoy leveraging data and technology to solve complex problems and extract meaningful insights. Proficient in programming and statistical analysis, with a growing interest in financial systems, capital markets, and data-driven decision-making. Eager to apply my technical skills in a fast-paced banking environment and contribute to innovative, data-informed solutions.

Loan Status Prediction Model

• Developed a machine learning pipeline to predict loan approval outcomes, incorporating extensive data preprocessing and feature engineering
• Trained and compared multiple models (Logistic Regression, Random Forest, XGBoost) to maximize predictive accuracy using real-world financial data

Constitutional Archive Search Platform

• Designed and delivered a full‑stack archive search platform with natural language querying of constitutional documents
• Integrated AI‑powered vector search to surface highly relevant documents across formats

3rd Place - Wits Cloud-a-thon Hackathon 2024. Led a 5-person team to design and deploy a professional-networking mobile app in 48 hours, delivering a functional MVP with integrated cloud services.

3rd Place - Adapt IT Hackathon 2024. Directed backend development of a fault-ticketing system for community infrastructure, improving reporting workflows for end-users.

2x Dean’s List, Faculty of Science. Recognized in the Top 5% of students for academic excellence (2023 & 2024)

Wits Investment Society

Member

• Active member of the Wits Investment Society, where I deepened my understanding of financial markets, investment strategies, and portfolio analysis. Participated in workshops and simulations focused on valuation, risk assessment, and data-driven decision-making.