I am a Data Scientist working in FinCrime ML at Rabobank, with previous experience as a Data & AI Consultant at Microsoft and as a Data Scientist at Philips. My work sits at the intersection of applied machine learning, cloud data platforms, Responsible AI, and business-facing delivery.
Across financial services, enterprise consulting, healthcare, CRM analytics, and research, I have worked on turning ambiguous business problems into data and AI solutions that can be designed, implemented, explained, and used in practice.
My recent focus includes financial crime machine learning, generative AI, large language models, NLP, Azure-based data and analytics platforms, and model governance. I enjoy working close to both technical teams and stakeholders: translating needs into architecture, building reliable analytical workflows, and keeping ethical, explainable AI practices part of the delivery process.
I am especially interested in AI systems that are useful beyond a prototype: solutions that improve decisions, reduce operational friction, and create measurable value while remaining understandable and responsible.