Projects

Understanding public sentiment during major sporting events

Analyzed millions of tweets during the 2022 World Cup to track sentiment patterns, fan engagement, and cultural reactions across different demographics.

How do languages evolve and spread in populations?

BSc thesis exploring computational models of language change using agent-based simulations. Implemented evolutionary algorithms to model linguistic adaptation and cultural transmission.

Streamlining academic peer review process

Built a web platform for managing academic paper submissions and reviews, featuring real-time collaboration and automated matching algorithms.

How to assess credit risk using machine learning?

Built a complete credit risk modeling system from scratch using Python and machine learning. Processes real-world financial data from the German Credit Dataset (Kaggle), trains models with Scikit-learn, and handles imbalanced datasets. Deployed as an interactive web application integrated into my portfolio for credit risk evaluation.

What topics dominate modern cognitive science curricula?

Applied LDA and BERT-based topic modeling to analyze course syllabi from top cognitive science programs, revealing trends in research focus areas.

How does cognitive load affect decision-making in games?

Current attention levels in society have caused a shift in the media consumed and games played. Everything must be shorter, and less taxing cognitively. This study aims to investigate the major cultural trend in the 1980s, the arcade game Ms. Pac-Man, to try and deduce what made the game a global sensation. We investigated cognitive load dynamics through player gaze behaviour.

How to make marketing concepts engaging and memorable?

Interactive educational mini-game for mastering LUBS2850 Marketing concepts. Built with modern web technologies, featuring a Kahoot-style interface, persistent leaderboards, and responsive glassmorphism design.

How can AI learn to play games optimally?

An intelligent Snake game implementation where an AI agent learns optimal gameplay strategies through reinforcement learning algorithms. The project demonstrates how machine learning can master classic games by training neural networks to maximize scores and avoid collisions, showcasing practical applications of AI in game environments.