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.
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 […]