Projects

Engineered linear regression and neural network predictive models to predict a forest fire’s area of effect based on environmental data

• Utilised Scikit-learn and Pandas libraries for data processing, model training, and evaluation
• Achieved high model accuracies with a Mean Squared Error of 0.062 and 0.058 (with k-fold cross-validation)
• Documented insights, performance, and methodologies with visuals in Jupyter Notebook using Matplotlib

Built web app using HTML, CSS, and JavaScript to manage vehicles and owners via Supabase PostgreSQL database

• Implemented RESTful API interactions to service user queries on person or vehicle lookups and adding new entries
• Ensured accessibility with Lighthouse
• Tested core functions using Playwright

Produced a TCP/IP server to manage and query a network graph using a custom protocol

• Implemented Dijkstra’s Algorithm for routing and pathfinding
• Created and utilised a graph library enabling dynamic updates to the network
• Facilitated client-server communication with network persistence

Led a team of three in planning and implementing JUnit tests for an existing property viewing application

• Refactored existing code, by continually executing unit and integration testing through Agile Methodologies
• Accomplished 96.8% and 94.0% code coverage for two main classes
• Managed Git repository, UML diagrams, and documentation

Developed a Reversi board game using the Model-View-Controller design pattern

• Ensured flexibility and modularity with custom controller and view subclasses
• Implemented AI auto-move functionality
• Designed a user-friendly interface using Java Swing and AWT to display real-time game updates for both players