Curriculum Vitae

Work Experience

Data Scientist & Engineer | Smartschool

10/2023 – Present

Developing AI-driven solutions to improve student outcomes, including predictive modeling for drop-out prevention.
Leading business intelligence initiatives and implementing scalable data infrastructure.
Collaborating with stakeholders to ensure ethical AI deployment in education.

Additional Activities:

Data Team Strategy: Organizing workshops, conducting AI maturity assessments, developing strategic roadmaps.
Aligning AI and data initiatives with the company’s core values and mission.

Affiliate Researcher | Eindhoven University of Technology

01/2022 – Present

Conducting research at the intersection of marketing analytics, behavioral science, and AI.
Exploring predictive models to understand customer behavior and decision-making processes.

Data Science Consultant | Algorhythm

01/2021 – 10/2023

Developed machine learning and statistical models to drive business insights across industries.
Led data-driven marketing strategies, optimizing customer journeys through advanced analytics.
Provided technical and strategic consulting to help businesses leverage AI effectively.

Additional Activities:

Marketing Data Science Offering: Developed value propositions, conducted R&D, led client workshops.
Marketing Strategy Review: Supervised interns, conducted keyword analysis, produced brand video content.
Research & Learning Lead: Organized stakeholder meetings, developed internal learning strategies.
Business Unit Strategy: Designed three-year strategic plans, defined KPIs, and implemented tracking systems.
Sales & Business Development: Drove new client acquisition and partnership initiatives.

Doctoral Researcher | Eindhoven University of Technology

10/2020 – 12/2021

Additional Activities:

PhD Representative: Guided new students, attended board meetings, organized community events.

Internship Supervisions | Hasselt University (2023): Guided graduation projects in marketing strategy & value proposition management.
Thesis Supervision | Thomas More University College (2023): Bachelor thesis on causal machine learning.
Thesis Supervision | Eindhoven University of Technology (2021): Innovation management & marketing analytics projects.
Courses Taught: Multivariate Statistics, Statistics for Business Administration, Mathematics for Business Administration.

PhD in Industrial Engineering – Marketing Analytics | Eindhoven University of Technology

10/2020 – Present

Coursework: Graduate econometrics, machine learning, optimization, panel data econometrics, statistical learning.
Additional Activities: PhD Representative, teaching & mentoring students

Master’s in Statistical Data Analysis – Statistical Science | Ghent University

09/2019 – 08/2020 (Summa Cum Laude)

Thesis: Methodological choices in exploratory factor analysis: The case of binary data.
Additional Activities: Student Representative

Master’s in Business Engineering – Finance & Marketing Intelligence | Hasselt University

09/2017 – 08/2019 (Summa Cum Laude)

Thesis: Marketing Impact: An Empirical Analysis of The Effect of Offline Commercials on Web Traffic.
Additional Activities: Student Representative, Teaching Assistant.

Bachelor’s in Business Engineering | Hasselt University

09/2014 – 08/2017 (Magna Cum Laude)

Programming & Tools: Python, SQL, MLFlow, Airflow, PySpark, Puppet, Logstash, Elastic Search, Kibana.
Machine Learning & Analytics: Statistical modeling, predictive analytics, econometrics, optimization, causal inference.
AI & Business Intelligence: Explainable AI, AI ethics, data strategy, dashboard development.

Smart Signal: An Early Warning System to Prevent Student Drop-Out | Work in progress
Loosening the Ties that Bind: Churn and Discontinuance in Multiproduct Settings | Work in progress
Exploratory Graph Analysis for Factor Retention: Simulation Results for Continuous and Binary Data | Educational & Psychological Measurement

Smart Signal (Smartschool): Predicting student drop-out using explainable ML, field testing adoption strategies.
Business Intelligence Logging (Smartschool): Implemented BI system using ELK stack.
Anomaly Detection (dotArchie | Algorhythm): Built neural networks to predict server failures.
Marketing Data Engineering (Publiq | Algorhythm): Set up website tracking infrastructure.
Economic Forecasting (Department of Work | Algorhythm): Developed statistical forecasting model for cost prediction.
Disease Trajectory Analysis (Johnson & Johnson | Algorhythm): Built statistical analysis dashboards for clinical trials.
Preventive Maintenance (IPEE | Algorhythm): Developed toilet clog prediction model.
Production Optimization (Toyo Ink | Algorhythm): Time series modeling of IoT data.
Customer Journey Analysis (Smeg | Algorhythm): Website process mining for customer behavior insights.

Trefdag Vlaanderen Digitaal (2024): AI in education & student performance.
Studiedag AI Digitaal Vlaanderen (2024): Ethical AI in education.
Studiedag AI Kenniscentrum Digisprong (2024): Critical AI perspectives in education.
Business Club AI Voka (2023): Data-driven marketing analytics.
Data Science Meetup Leuven (2020): Exploratory factor analysis for binary data.