Quentin-Emmanuel Vajda

Lead Data Scientist at ING

Quentin-Emmanuel Vajda is an advisory data scientist in the Belgian data science chapter who has been focusing on the technical side of the chapter’s projects for 5 years now. He has taken the role of ‘Lead Data Scientist’ since last year.

My Sessions

Towards operationalized fairness in ML – fairness definition decision tree & general mitigation approach


We are introducing the ongoing track at ING of operationalizing the application of fairness in ML within various business domains that a bank deals with. This track itself is positioned within the ‘ethics guidelines’ that are also in the process of being created within ING. The current challenges identified are: • Choosing the right fairness […]

Responsible AI