DATA SCIENTIST
De Kiesraad
Data Analysis during and after TK25 and GR26 elections. Improving analytics tooling and various election data standards (EML). Product owner of a small development team "uitslagenportaal", a webapplication to increase transparancy in the voting process. Also took on the part-time role of Security Officer (physical assets).
September 2025 - Present
MEDIOR SOFTWARE DEVELOPER
Centraal Bureau voor de Statistiek
Full-Stack development of smartphone apps for data gathering. Part of a small Scrum team within the innovation department, developing various apps for respondent surveys using the Flutter framework (Dart), .Net Core, and MSSQL (previously Golang and PostgreSQL). Quickly became Scrum Master of the team and earned PSM and PSPO Scrum certificates. Responsible for deployment through Azure DevOps and Kubernetes (DTAP). Supported statistical research by performing data analysis and writing a supporting paper. Prototyping and implementing a receipt scanning microservice (Python/RabbitMQ), experimenting with various OCR deep learning models to support receipt scanning as part of an international cooperation of National Statistical Institutes. Giving advice on operational and managerial level about project management of innovation projects.
October 2021 - September 2025
R&D DEVELOPER
PVH-Automation
Developing a wide range of software and hardware solutions, both for production and proof-of-concept. ASP.NET web application for asset-management visualisation, Windows executable for reading and writing CAN-BUS vehicle data, developed GPS-tracking hardware (STM32) which is used in over 100 vehicles (assets) of various heavy industries, worked with R and PowerBI to perform data analysis to generate and automate business insights & fleet management insights. Designed an application-layer protocol for the asset management hardware nodes over Sigfox. Experimentation with various state-of-the-art techniques in Telemetry.
February 2017 - September 2021
THESIS INTERN (MSc)
Vattenfall
Researched workload prediction of datacenters at Vattenfall as part of the Master Thesis. Implemented a prediction model for workload prediction based on the LightGBM machine learning algorithm and XGBoost, compared it to traditional time series forecasting methods such as ARIMA and LTSM and reflected on the approaches.
February 2021 - June 2021
THESIS INTERN (BSc)
VodafoneZiggo
Studying of router network traffic through through data analysis and exploring machine learning applications on predicting traffic. The goal was to categorize different network streams and investigate possibilities to improve QoL within the network using basic classifiers, Python, Wireshark and knowledge about the OSI-model
January 2018 - June 2018
INTERN (WORKING STUDENT)
TNO
Researched novel wireless network protocols for embedded systems, specializing in the 6LoWPAN network protocol and learning about Zigbee, IEEE 802.15.4 standard and the OSI-model, building a proof of concept network and providing documentation for future use based on Arduino nodes.
September 2016 - February 2017
