Student of Data Science & Artificial Intelligence
I develop models to analyse and visualise data, and explore how machine learning can be applied to computer vision, automation and other real-world problems.
About me
I am studying Applied Data Science & Artificial Intelligence at Breda University of Applied Sciences. Through the course of this project-based programme, I have gained practical experience in data analysis, machine learning, computer vision, NLP, and robotics.
I am naturally curious and enjoy experimenting, solving problems, and learning how things work.
This portfolio shows some of the work I have done during my studies and what I learned along the way.
Portfolio
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.
What I work with
Contact
A private contact form will be added before the portfolio is published. In the meantime, you can explore my work on GitHub.
Visit my GitHub →