The Speakers
Analytics
Paul Davies
Domestic & General Head of Data Science
Paul Davies is the Head of Data Science at Domestic & General, the UK’s largest provider household appliance warranties. He is responsible for the effective delivery of machine learning into pricing and marketing. Using technology and culture to further develop D&Gs customer centric approach and drive business value. Previously, he worked with Simply Business and has a degree in economics from Lancaster University.
Paul Davies
Domestic & General Head of Data Science
Hen Fridman
Business Solutions Consultant, Earnix
As a Business Solution Consultant at Earnix, Hen helps clients reach optimal business decisions through her expertise in understanding financial and statistical methodologies. Before her current role, Hen was a Professional Services Consultant at Earnix, where she was in charge of leading implementation projects, responsible for analyzing complex data sets and developing advanced statistical models to enhance predictive capabilities. Hen has a passion for mathematical models and always strives to make clients happy by reaching the right decisions.
Hen Fridman
Business Solutions Consultant, Earnix
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Wei Ke, Ph.D.
Managing Partner, Simon-Kucher
and Partners
Wei Ke heads Simon-Kucher's financial services activities in North America. He has advised leading financial institutions on product innovation, pricing strategy, machine learning based personalization, sales effectiveness and customer value management. Wei received a Ph.D. in Decision, Risk, and Operations from Columbia Business School, and a B.Sc. in Electrical Engineering & Applied Mathematics from Columbia University.
Wei Ke, Ph.D.
Managing Partner,
Simon-Kucher and Partners
Reuven Shnaps, PhD
Chief Analytics Officer, Earnix
As the company’s Chief Analytics Officer, Reuven Shnaps leads the Earnix Analytics organization. In his role Reuven oversees Earnix product roadmap management and directs the company’s analytics strategy, as well as research and delivery for Earnix customers worldwide. Reuven has spent more than 20 years developing and analyzing advanced statistical and economic models. Over his 10+ years at Earnix, he has gained extensive experience in crafting analytical solutions, and managing and implementing pricing & analytical projects for leading financial institutions around the globe. Prior to joining Earnix, Reuven worked in the economic and statistical consulting group at Deloitte & Touche in the United States, serving corporate clients across multiple industries. He holds a PhD and a master of arts in economics from The University of Pennsylvania and a master of arts in business economics and a bachelor of arts in economics and statistics from Bar Ilan University.