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Data engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Amsterdam
Master's degree, Artificial Intelligence
January 1, 2016 – January 1, 2018
Uva
Minor, Minor Programmeren
January 1, 2013 – January 1, 2015
Uva
Econometrics and Quantitative Economics
January 1, 2010 – January 1, 2015
IncoNed - Inkoopcombinatie Nederland
Data and tech
February 1, 2025 – Present
TomTom
Expert machine learning engineer
April 1, 2023 – Present
TomTom
Senior Machine Learning Engineer
November 1, 2021 – July 1, 2023
TomTom
Computer Vision Engineer
June 1, 2019 – June 1, 2022
OBI4wan
Junior machine learning engineer
September 1, 2018 – June 1, 2019
Zaandam
University of Amsterdam
Student Artificial Intelligence (cum laude)
September 1, 2016 – August 1, 2018
Willis Towers Watson
Analyst Executive Compensation
February 1, 2015 – March 1, 2016
Amsterdam
Towers Watson
Working student Talent & Reward
August 1, 2013 – February 1, 2015
Towers Watson
Working student Retirement Solutions
January 1, 2012 – August 1, 2013
Cultural Fit Analysis
The candidate has a strong academic background in Econometrics and AI, followed by a consistent career progression in Machine Learning and Data roles at TomTom. The transition to 'Data and tech' at IncoNed and previous analyst roles suggest adaptability. However, the target role is 'Data Analyst', which is a slight shift from their recent 'Expert Machine Learning Engineer' roles. While they have foundational data analysis experience, the depth of their pure data analysis skills (beyond ML/AI) for a dedicated Data Analyst role is not fully clear. The diversity of projects is limited to mapping/AI and some financial analysis.
Soft Skills & Operational Fit
The candidate's resume highlights roles involving complex data processing and model development, suggesting strong analytical and problem-solving skills. The description of creating map products from billions of data points implies an ability to handle large-scale operations. However, specific soft skills like teamwork, leadership, or communication are not explicitly detailed in the provided data.