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Master Computer Science - Specalisation Data Science Radboud University, Nijmegen, the Netherlands
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Assessing your cultural and operational fit
Radboud University Nijmegen
Data Scientist
June 27, 2026 – Present
Corona-visualizations
March 27, 2020 – March 27, 2020
Making some simple and interactive visualizations with Plotly using Corona virus datasets
View ProjectSentiment-Analysis
February 12, 2019 – February 12, 2019
Sentiment-Analysis — GitHub repository
View ProjectAdvent-of-Code-2018
February 12, 2019 – May 4, 2019
Python solutions for the 2018 AoC Challenge
View ProjectKnights-Tour-Python
August 30, 2018 – February 13, 2019
Depth First Recursion - Knight's Tour Python
View Projectimaterialist_kaggle
April 18, 2018 – June 26, 2018
imaterialist_kaggle — GitHub repository
View ProjectMLoB
February 20, 2018 – April 20, 2018
This is the repository of the Masters course Machine Learning in Practice
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards individual, academic, and competitive programming challenges. While this demonstrates initiative and problem-solving, there is limited evidence of collaborative projects or contributions to larger, production-grade systems. The single listed professional experience as a 'Data Scientist' at Radboud University Nijmegen is current but lacks details on responsibilities or achievements, making it difficult to assess alignment with typical industry cultural expectations for a senior role. The diversity of projects (NLP, visualization, algorithms) indicates a broad interest in data science sub-fields.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.