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 working end-to-end workflow that detects and automatically annotates traffic objects in cycling footage, then connects them with gaze and fixation data to support behavioural research.
View case study →
A Power BI analysis of the correlation between access to clean cooking facilities and child mortality, using public data, exploratory analysis and linear regression to investigate the relationship further.
View case study →
A team project that turned an earlier plant root computer vision prototype into a reusable MLOps solution with modular Python, testing, an API, Docker and Azure Machine Learning workflows.
A plant science project combining computer vision for measuring roots with PID control, reinforcement learning and autonomous robot movement.
An interactive Streamlit application for the Municipality of Breda that explores public nuisance patterns across neighbourhoods and uses SARIMA time-series models to forecast future complaints.
A conservation monitoring concept combining image classification with analysis of model bias and explainability, market research, user testing and a wireframe prototype.
What I work with
Contact
If you would like to contact me about an internship, job, project, or other opportunity, you can send me a message here.
Visit my GitHub →