Education
Technische Universiteit Delft (2012 - 2015)
- Degree: Master's degree
- Field of Study: Biochemical engineering
- Description: MSc Thesis: Impact of shear stress on emulsion formation for production of sesquiterpenes
Universiteit Leiden (2007 - 2012)
- Degree: Bachelor's degree
- Field of Study: Life Science and Technology
- Description: BSc Thesis: Synthesis of a 2,4-BODIPY dye conjugate, Leiden Institute of Chemistry
Skills:
Machine Learning, Data Science, Python, SQL
Work Experience:
Data Scientist at Nationale Samenwerking tegen Ondermijnende Criminaliteit
- Location: Driebergen-Rijsenburg, Utrecht, Nederland
- Duration: 2021-06 to Present
- Description:
Data Scientist Consultant at Daugherty Business Solutions
- Location: St Louis, Missouri, Verenigde Staten
- Duration: 2020-11 to 2021-05
- Description:
Data Scientist at de Volksbank
- Location: Utrecht en omgeving, Nederland
- Duration: 2016-05 to 2019-06
- Description: De Volksbank is the fourth largest bank in the Netherlands with a portfolio of 62 billion and 1.2 million customers. I worked at the Artificial Intelligence Center of Excellence department on projects for different departments within the bank in order to incorporate AI into our services. I was also part of the bank’s ‘high potential’ program that focused on promoting skills such as communication, stakeholder management, presentation skills, leadership and continuous improvement. Work experience: - Build an application that identifies the active subscriptions of customers. This data feeds into a model that predicts when customers are allowed to cancel their subscription without additional fees. We display this in our mobile banking application to convenience customers. Scrum master of our team of seven. Working closely with the product owner and business. - In charge of the accurate prediction of customers main source of income. Cornerstone of the ‘My budget’ mobile banking app. Build a web-based GUI for employees to conveniently label and extract unlabeled transaction data. - Predicting the acceptance of mortgage applications using Machine Learning and transaction-based risk drivers. Significantly boosted the accuracy of the model using a word embedding. - Building a categorization model to label billions of transaction data significantly reducing the amount of labor and time needed to label. Customer analysis and selection for data driven marketing increasing the effectiveness of our targeted marketing.
Intern at Applikon Biotechnology
- Location: Delft en omgeving, Nederland
- Duration: 2015-09 to 2015-12
- Description:
Study Teacher at BijlesXtra Studiehulp
- Location: Leiden
- Duration: 2013-08 to 2014-09
- Description: Teaching secondary school students in physics, chemistry and mathematics
Candidate Intelligence Report
AI-powered analysis from the perspective of a US hiring director — evaluating career continuity, growth trajectory, and role fit.
Career Continuity & Risk Assessment
Notable gaps exist: 2014-09 to 2015-09 (~1 year) before the 2015 internship, and 2019-06 to 2020-11 (~17 months) before the Daugherty engagement. In interviews, expect explanations tied to studies, contract work, or personal projects.
Experience spans banking, public-sector/criminal justice, biotech, and consulting. This demonstrates versatility but may require context during interviews to align with a single employer's industry focus.
Several roles are of shorter duration (notably the 2020-2021 Daugherty engagement). Overall tenure shows progression, but interviewers may seek clarity on motivations for shorter stints.
Education from Technische Universiteit Delft aligns well with data science, ML, and software skills; no evident misalignment with career trajectory.
Career Growth Curve
Best-Fit Roles (Top 5)
Senior Data Scientist - Port Logistics Analytics (Rotterdam/Maasvlakte region)93% fit
Direct alignment with DS expertise and domain relevance to port/logistics near Maasvlakte; proven ability to translate business goals into actionable data solutions.
Data Science Lead - Banking & Financial Services (Rotterdam area)90% fit
Strong banking background from Volksbank plus leadership exposure; well-suited for a lead DS role in a nearby financial services environment.
AI/ML Engineer - Fraud Detection & AML (Netherlands, Rotterdam region)89% fit
Solid risk modeling and ML experience; fits a security/AML analytics function common in Dutch financial institutions.
Data Scientist - Port/Maritime Analytics (Rotterdam Port Authority or logistics tech firm)85% fit
Leverages proximity to Maasvlakte with DS capabilities; suitable for optimization and analytics projects in maritime logistics.
Data Scientist - Marketing Analytics / Customer Intelligence (Dutch retailer or financial services near Rotterdam)82% fit
Experience with subscription analytics and data-driven marketing supports DS roles focused on consumer insights in a local market.
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