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Master's Degree

Master of Applied Data Science

Graduated Cum Laude — 9.25/10 Average

From 2023–2025 I pursued the Master Applied Data Science at the Hogeschool van Arnhem en Nijmegen (HAN). The two-year, 60 EC programme sharpened my expertise in modern data-driven research and production-grade deployment. I graduated cum laude on 26 June 2025.

Program Details
Institution
HAN University of Applied Sciences
Location
Nijmegen, Netherlands
Focus
Applied ML & Statistical Methods
Duration
2023 - 2025 (60 EC)
Result
Cum Laude (9.25/10)
Overview

A practice-focused graduate program

The curriculum combines rigorous methodology with hands-on, real-world projects. Highlight modules include Predictive Modelling, Data Exploration, Model Deployment and a 16 week Graduation Project, culminating in a public defence.

This practical orientation aligned perfectly with my approach to data science. The program reinforced that the best model is worthless if it doesn't solve a real business problem or can't be maintained by the team that inherits it.

Average grade 9.25 — awarded the distinction cum laude, placing in the top tier of graduates.

Programme

Course summary

The program structure balanced foundational theory with applied projects. Each module culminated in a practical deliverable—not just an exam.

01
Predictive Modelling
15 EC — Grade 9.0
02
Data Exploration
15 EC — Grade 9.0
03
Model Deployment
15 EC — Grade 10.0
04
Graduation Project
15 EC — Grade 9.0
Highlights

Key achievements

Protein Transformers

Designed and deployed custom protein Transformers for my Graduation Project (final grade 9.0)

Perfect MLOps Score

Achieved a perfect 10 for the Model Deployment module, demonstrating production-ready MLOps skills

Top of Cohort

Consistently ranked in the top of the cohort with weighted averages above 9/10 each academic year

Hackathon Leadership

Participated as team captain in the 2024 MADS Hackathon, recognized for exceptional leadership

Video

MADS Hackathon 2024

I starred in this video produced by the HAN, documenting the MADS Hackathon in 2024.

Graduation

Bio-Prodict graduation project

Finished the Master's with a project at Bio-Prodict, which was graded as "of exceptionally high level and may be expected to have a significant impact on the organization".

The project focused on designing and training custom protein Transformer models, applying cutting-edge deep learning techniques to real-world bioinformatics challenges.

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