Chris Choy is a data scientist and co-founder based in Hong Kong with 11 years of experience building production analytics and optimization systems across industries from chemicals to smart buildings. At Carnot Innovations he led development of core analytics monitoring 100k+ sensors and deployed control algorithms that delivered up to 15% additional energy savings while uncovering 90% of operational faults. Earlier roles at BASF and Clustertech combined applied machine learning, pricing and churn models, and time-series engineering to drive measurable commercial impact (10–50% improvements) and speed prototyping through custom R libraries and ETL automation. He holds a PhD in Statistics from Oxford and brings strong cross-cultural collaboration experience on global teams, plus a habit of turning messy production data into robust, high-impact products. Outside work he helps run the Hong Kong R User Group, signaling active community leadership and practical commitment to reproducible analytics.
11 years of coding experience
3 years of employment as a software developer
MMath Mathematics and Statistics, Mathematics and Statistics, First, MMath Mathematics and Statistics, Mathematics and Statistics, First at St. John's College, University of Oxford
Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at University of Oxford
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