Martin Chan is a Data Scientist with nine years of experience building analytical solutions that bridge commercial strategy and rigorous data science, currently shaping Microsoft Viva through experimental design, ML, and scalable DS assets. He has a strong consulting background in segmentation, text mining and analytics pipelines using R, Python, VBA and SPSS, and authored an open-source R package (wpa) published on CRAN to extend Workplace Analytics. Comfortable in customer-facing and technical roles, he has incubated product-led sales strategies across EMEA and translated qualitative cultural and political insight into actionable business hypotheses. An active member of the London data science community and past EARL speaker and R-blogger contributor, he blends academic training in philosophy and PPE with practical product and research experience. Colleagues describe him as analytically curious with a knack for turning nuanced social context into clearer measurement and decision frameworks.
8 years of coding experience
2 years of employment as a software developer
Master of Arts (M.A.), Philosophy, Distinction, Master of Arts (M.A.), Philosophy, Distinction at King's College London, U. of London
Contributions:52 commits, 1 PR, 39 pushes in 5 years 4 months
text-datasurveyworking-time
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