Trained an XGBoost decision tree algorithm to attempt a beginner competition on Kaggle. Applied data preprocessing and ML techniques to solve the problem of classifying survivors on the Titanic based on passenger data.
Skills: Data preprocessing, Feature engineering, Hyperparameter tuning, XGBoost, Pandas, Python
In this interschool competition, teams developed solutions to real-world problems over 6 weeks. We incorporated camera systems and object detection/classification into wearable glasses to assist visually impaired users in navigating in roadside environments.
Skills: Design thinking, Public speaking, OpenCV, Teamwork
An interactive dashboard created using the Streamlit, Pandas, and Plotly libraries to visualise the fuel consumption and CO2 emissions of ships in Nigerian waterways.
Skills: Data manipulation with Pandas, Data visualisation with Plotly, Web development with Streamlit, Python
Interactive advent calendar made in Figma with hand-drawn designs. Inspired by @meshtimes.
Skills: Design, Figma