As a data enthusiast with 3+ years experience on Data Science and Engineering topics, I am currently learning a lot about solution architecture.

My experience in consulting helps me to quickly identify problems and align solutions with stakeholder needs. As a natural connector, I enjoy bringing people together. I’m passionate about collaborative problem-solving, continuous learning, and professional growth.

Below is a list of the projects and clients I have worked with.

Data Scientist @ DXONE (via Machine Learning Reply)

Oktober 2026 - present

  • PO of team of 11 Data Scientist
  • Building Sales and After-sales ML solutions, scaling to 26 markets

Data Scientist @ Allianz (via Machine Learning Reply)

February 2026 - August 2026

  • Supporting various OE’s on Databricks setup and connectivity topics
  • Developed multiple PoC’s and hosted skill-up for 300+ colleagues

Data Scientist @ Nationale-Nederlanden (via Capgemini)

August 2025 - January 2026

  • Created API webapp to check potential fraud hit on claim within both internal and external databases
  • Build fraud detection solution for insurance label based on batch processing

Data Analyst @ Gemeente Amsterdam (via Capgemini)

September 2024 – July 2025

  • Improved reporting on citizen services by combining insights
  • Created views and data models in Databricks with SQL
  • Improved security for internal reporting by implementing RLS in Azure en PowerBI

Data Scientist @ ABN AMRO (via Capgemini)

August 2023 – September 2024

  • Optimized workforce planning through reporting and forecasting
  • Build ETL pipelines using Python, SQL and Azure Synapse
  • Build PBI reports for higher management stakeholders

Data Scientist @ Capgemini

June 2023 – January 2026

  • Young-Professional event board, responsible for organizing social events, bi-weekly knowledge sessions and monthly drinks
  • Developed POC for closed documents LLM RAG solution using OpenAI at Capgemini AI lab
  • Supervised Machine Learning Thesis intern

Data Scientist @ Yabba Data Doo

February 2023 – March 2023

  • Empowered sales with live insights using Azure functions and Python API