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Machine Learning Consultant at Incentro
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Combining a solid theoretical background in Physics with an engineering master from TU Delft, I'm now developing intelligent systems at Incentro. Being a certified Google data engineer, these intelligent systems are mostly developed on the Google Cloud Platform.
Delft University of Technology
Master of Science (MSc), Marine Technology
January 1, 2014 – January 1, 2017
Delft University of Technology
Premaster, Maritieme Techniek
January 1, 2013 – January 1, 2014
Radboud University
Bachelor of Science (BSc), Physics
January 1, 2007 – January 1, 2013
Raayland College
VWO
January 1, 2001 – January 1, 2007
Incentro
Machine Learning Consultant
October 1, 2017 – Present
Utrecht Area, Netherlands
Damen Shipyards Group
Student Worker
February 1, 2015 – August 1, 2016
Gorinchem
Damen Shipyards Group
Internship
October 1, 2014 – February 1, 2015
Gorinchem
Albert.nl
Courier
March 1, 2013 – October 1, 2014
Nijmegen
MARIN (Maritime Research Institute Netherlands)
Internship
November 1, 2010 – May 1, 2011
Wageningen
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Tutoring
January 1, 2007 – January 1, 2014
Nijmegen
Professional Cloud Architect
Google Cloud
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 24, 2026 – Present
Google Certified Professional - Data Engineer
Google Cloud Certified
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience as a Machine Learning Consultant working with various companies (Coop, PostNL, KPN, Tellow, Vakanties.nl) and startups suggests adaptability to different organizational cultures and project demands. The academic background in physics and marine technology, combined with a career pivot into machine learning, indicates intellectual curiosity and a drive for new challenges. The certifications further support a proactive learning mindset. However, the target role is 'Data Analyst', while the candidate's recent experience is heavily focused on 'Machine Learning Consultant' and 'Machine Learning Engineer' type roles. This might indicate a potential mismatch if the Data Analyst role is purely descriptive analytics and reporting, rather than advanced analytical modeling or ML integration. The lack of explicit project diversity outside of ML/data science could be a minor concern for broader cultural fit if the team requires diverse domain expertise beyond data.
Soft Skills & Operational Fit
The candidate's experience in tutoring suggests an ability to explain complex concepts, which is valuable for collaboration and mentorship. The project descriptions indicate a proactive approach to problem-solving and innovation (e.g., developing a conversion optimization algorithm from idea to deployment). The diverse project portfolio, including work for both large companies and startups, demonstrates adaptability. However, specific soft skill assessments (e.g., teamwork, stress handling) are not available from the provided data.