Summary
Bono Ijpelaar is a Data Scientist and Software Engineer based in North Brabant with a decade of hands-on experience building tax and analytics systems at Tax Systems. He combines an HBO-ICT bachelor with an MSc in Data Science from Radboud University, moving from junior and back-end roles into a hybrid data-science/software engineering position where he ships production ML and backend features. His applied work spans NLP-driven customer conversation analysis, recommendation engine improvements for the Efteling Lab App, and practical churn-prediction pipelines from his graduation project. Comfortable with both exploratory analytics and production engineering, he’s known for bridging research-grade models and maintainable software in the same codebase. Notably, he sustained professional growth by alternating study and part-time development roles, demonstrating an ability to learn fast while delivering impact.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Computing Science: Data Science, Master's degree, Computing Science: Data Science at Radboud University
Bachelor of Applied Science - BASc, HBO-ICT, Bachelor of Applied Science - BASc, HBO-ICT at Fontys University of Applied Sciences
Italian, Dutch, English