Portfolio
A selection of projects I have worked on during my study of Applied Data Science & Artificial Intelligence. They show my experience in data analysis and visualisation, computer vision, machine learning, robotics, and MLOps.
A complete workflow that detects and automatically annotates traffic objects in cycling footage, and connects them with gaze and fixation data to support behavioural research.
View case study →
A team project that prepared a plant root computer vision solution for wider use by adding modular Python code, testing, an API, Docker and Azure Machine Learning.
A plant science project combining computer vision for measuring roots with PID control, reinforcement learning and autonomous robot movement.
A municipality case using public nuisance data to explore patterns and forecast future demand for enforcement capacity.
A conservation monitoring concept combining image classification with analysis of model bias and explainability, market research, user testing and a wireframe prototype.
An early data analysis project using public Sustainable Development Goal data to explore patterns and present findings in an interactive Power BI dashboard.