Summary
Yihui Fan is an associate director of data science based in London with nine years’ experience turning advanced analytics into measurable growth for digital products. At King he built the company’s first pLTV model, halved ROI prediction error, and created a privacy-friendly geo experimentation framework that complements marketing-mix modelling. He has led and scaled multidisciplinary teams, recruiting and mentoring data scientists, engineers and analysts while defining analytic roadmaps to optimise marketing ROI across multiple titles. Prior roles include building a Docker/Kubernetes ML platform that cut deployment time from days to hours and applying time-series and causal methods to boost sales and lifetime value. Trained in sociology and machine learning from Oxford, Birkbeck and Manchester, Yihui blends quantitative rigor with a user-centred, experimental mindset. He also blogs and consults on data science, bringing a communicator’s clarity to complex measurement problems.
9 years of coding experience
8 years of employment as a software developer
Master’s Degree Sociology, Master’s Degree Sociology at University of Oxford
Bachelor’s Degree Linguistics and Sociology, Bachelor’s Degree Linguistics and Sociology at The University of Manchester
Master’s Degree Machine Learning, Master’s Degree Machine Learning at Birkbeck, University of London
Chinese, English