Summary
Lee Joshi-jones is a data scientist with a decade of experience applying machine learning and analytics to commercial problems across retail, hospitality and payments. Currently at Blackhawk Network, he combines statistical modelling, API and web application development, and cloud-oriented data engineering to deliver production-ready solutions. His background includes optimizing apparel size allocation and reducing food waste at Marks & Spencer, plus building churn and cancellation prediction systems and secure PostgREST APIs at Travelodge. Comfortable from SQL and DB2/Exadata/Impala to Python, R and Flask, he also designs user-facing dashboards and automation that save hours of manual work. A UCL geosciences graduate with an Imperial College MSc and a Udacity ML nanodegree, he brings a rare mix of domain curiosity (from palaeontology to retail operations) and pragmatic product delivery. In his spare time he’s a husband and gamer, hinting at a methodical but playful approach to problem solving.
10 years of coding experience
3 years of employment as a software developer
MSc History of Science, Medicine and Technology, Merit, MSc History of Science, Medicine and Technology, Merit at Imperial College London
Machine Learning Engineer Nanodegree, Data Science, Machine Learning Engineer Nanodegree, Data Science at Udacity
BSc Earth Sciences, Geology, Evolutionary Biology and Palaeontology, 2:1 (Hons), BSc Earth Sciences, Geology, Evolutionary Biology and Palaeontology, 2:1 (Hons) at University College London, U. of London
English, Latin, Japanese