About Me
Hello! My name is Robin. I’m 23 years old, and was born in Venlo. Don’t let this site fool you; I speak gewoon Nederlands hoor. I’m a Master’s student of Data Science in Business and Entrepreneurship. It’s basically a programme that applies data science techniques to business problems. I’m studying full-time at the Jheronimus Academy of Data Science in Den Bosch, whilst consulting part-time.
My Story
I’ve always enjoyed working on creative projects with computers. When I was 11, a friend of mine told me about Scratch, an online platform and software-building tool that teaches kids programming. As a kid, I spent a good deal of my free time playing around with this software to create my own little games and programs. This was the beginning of a fascination with the capabilities of computers that led me to study a Bachelor’s in Artificial Intelligence at Radboud to see how smart machines can really get.
Extracurriculars
Outside my studies, I work as a freelance Data Consultant, providing small to medium sized businesses with Data Science techniques to create value. I also like to cook, exercise, and read through Wikipedia articles. I’m always thinking of new ideas for software projects.

Hard Skills
- Webserver Administration: Experience using SQL, Nginx, Docker (Compose), WordPress, and HTML.
- Data Science: Fluent in Python, and its packages Pandas, Seaborn. Experience in R for statistical analysis.
- Artificial Intelligence: Experience with Python packages PyTorch, Keras, Scikit-learn.
- Software Development: Understands DevOps cycle, Scrum, and CI/CD pipelines. Experience coding Java with Git, OpenGL. Also used to work with C# and C++. Experience in Android App Development.
Soft Skills
- Teamwork: For every course at the Academy, we have group work. I’m used to working as a team player or leader in a group to efficiently get a project done.
- Communication: As a consultant you’re working with people outside your field, so good communication skill is key to succeeding in your job.
- Critical Thinking: My Bachelor was very research-oriented. Scientist are by definition very critical, reviewing each others work, and keen to validate or invalidate assumptions.
- Statistical Understanding: Data Science can be boiled down to math and statistics. I learned over the course of 5 years to properly interpret statistics: when results are significant, what conclusion can be drawn, and how findings can best be represented.