Data Scientist and Chevening Scholar

George Kvinikadze is a Digital Growth Data Scientist with experience in the fintech and banking sectors, where he has built and deployed machine learning solutions for credit risk, customer activation, and personalized financial services. He has led computer vision R&D in Paris, designing scalable AI pipelines to process 100,000+ documents and improve decision-making reliability.

George holds an MSc in Data Science from the London School of Economics, where he specialized in causal inference and advanced machine learning. A Chevening Scholar and winner of the Copenhagen Democracy Summit award, he combines technical expertise with business impact.

What if customer retention could be turned into a formula – and proven with scientific precision? Discover with George on November 27-29.