Eindhoven, North Brabant, Netherlands
As an ex-topsport athlete I enjoy anything that has a competitive element to it. I love challenges and I always strive for the gold medal. Solving complex puzzles is what I do best. As an econometrician I know how to use mathematics and data to create value for businesses and society. My personal interests lie within Reinforcement Learning (RL), a domain of Artificial Intelligence with an immense potential of solving the most complex puzzles someone could think of. One day I see my self as an RL-master, being booked as a public speaker at conferences. I made the first step as a public speaker at the PyData Conference Eindhoven 2019. It felt great😊 In my spare time I play the guitar, do sports, and try to surf as much as possible. Really, everyone should give that a try😊
Planning & Delivery - Strategic advisory by leveraging a digital twin
Leveraging data in a SaaS platform. This entails building a datalake in AWS using apache iceberg and spark, creating data products in both the analytical and operational hyperplanes and leveraging them for both internal and external stakeholders by consulting the business and management.
- Developing a data platform in Azure cloud by means of the data mesh principle - Developing an E-commerce packing, batching and routing application using operations research and machine learning - Matching transport shipments and carriers using machine learning - Email classification in retail using text-mining and machine learning - Communication assistance for hospitals using speech recognition and text mining - Public speaking and lecturing about image recognition - Image recognition application using aerial imagery, web-scraping, geo-processing and artificial intelligence - Innovation by applying reinforcement learning - Cash-flow allocation model using statistics and BI - BI dash-boarding
- Graduate Intern: Projecting the future performance of professional soccer players
- Pricing & Valuation of portfolios