Chris Suess is an AI and ML Data Scientist with eight years’ experience translating advanced research into production-ready systems, currently leading AI initiatives at Experian Consumer Services from Nottingham. He built an MLOps platform on AWS, deployed personalization models that lifted revenue by around 10%, and introduced LLM/GenAI features to explain customer credit reports, speeding up development. A former Principal Scientist at the University of Nottingham with a PhD in Computational Science, he combines deep computational chemistry research experience with practical software engineering. He has led cross-functional teams to automate data preprocessing, cutting prep time by over 40%, and retains an experimental researcher’s mindset when architecting scalable ML solutions. Notably, his background in quantum chemistry research informs a precision-first approach to model design and validation that benefits high-stakes financial products.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Science, Doctor of Philosophy - PhD, Computational Science at University of Nottingham
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