Hamaad Shah
Vice President, Deutsche Bank
Hamaad is a principal data scientist with expertise and experience in machine learning and quantitative analytics applied to banking and insurance. He has extensive expertise in deep learning and Bayesian inference, among other areas of machine learning, applied to various financial services use cases such as Asset Liability Management (ALM) and actuarial pricing, among other financial services use cases. Hamaad holds an MSc in Applicable Mathematics from the London School of Economics and Political Science (LSE) and a BSc in Economics from the University of Manchester.
Courses
Become a new breed of engineer, through a solid grounding in AI and edge computing (Internet of Things) for developing systems in production. We incorporate an Agile data science methodology adapting Agile techniques to AI systems deployed in production.