About Me
Hi, I’m Jeroen — a data scientist from ’s-Hertogenbosch, the Netherlands. I work at Mentech, where we develop AI-driven products for healthcare. I hold a bachelor’s degree in Applied Mathematics and a master’s degree in Data Science.
Outside of work, I enjoy experimenting with technology — from programming and 3D printing to tinkering with Arduinos. I like bringing quirky project ideas to life, whether they turn into websites (like this one), small games, or physical creations. This site is where I share some of those projects.
My biggest personal project at the moment? Training to complete an Ironman-distance triathlon.
Work Experience
Data Scientist
Mentech · Full-time
HUME
Developing new AWS cloud ready neural network and decision tree models for stress detection. Generating usage statistics on products.
NOA
To be added
Data Scientist
Capgemini · Full-time
Internal Projects
Gender Pay Gap Analysis
Developed a regression model to analyze the gender pay gap within Capgemini The Netherlands. This project sparked interest of Capgemini offices in other countries.
Risk Dashboard POC
Built functionality to calculate distance to nearest body of water using satellite imagery, edge detection and computer vision in Python. The project won an innovation prize.
Client Projects
Nederlandse Spoorwegen
Jan 2023 - Dec 2023At NS I developed Computer Vision solutions for the Autonomous Train Operations project. Activities included developing models for sign and signal detection, developing models for detecting relevant lanes, and developing a model for detecting switch-states.
ProRail
Feb 2022 - Dec 2022Worked on Computer Vision and Machine Learning POCs in Azure including person detection using YOLOv5, object tracking using DeepSORT, crowd counting using CrowdNet, and developing a "train to cloud" pipeline with Azure, Docker and Kubernetes.
Unilever
Aug 2021 - Dec 2021Developed the Unox website chatbot using MS Azure stack (LUIS, Bot Framework Composer, QnA Maker) for handling complaints, recipes, allergen information and product promotion.
FrieslandCampina
Jun 2021 - Aug 2021Developed a quality prediction solution using machine learning with factory sensor data to predict product quality, developed in Dataiku.
Master Thesis - Data Science and Society
Tilburg University · Internship
Conducted academic research into detecting deepfake videos based on individual parts of the face using OpenFace2, OpenCV and Xception model.
Bachelor Thesis - Applied Mathematics
ExRobotics · Internship
Devised automatic gas leak detection solution for autonomous inspection robot using infrared camera and Mask-RCNN model. Earned grade 8 for graduation internship.
Student-medewerker
Noctuam BV · Part-time
Research Internship - Applied Mathematics
Fontys Hogescholen - Roboticslab · Internship
Devised and implemented a human-robot shared workspace solution with two gyro sensors per arm for arm tracking, enabling robot arm movement planning in ROS environment.
Internship - Applied Mathematics
Moog Inc. · Internship
Performed sensitivity analysis on a hexapod, mapping deviations between simulation and machine during movement in 6 degrees-of-freedom.