Summary
Michael Chin is a customer analytics engineering leader with eight years of experience designing data platforms and building teams that turn complex, multi-source data into actionable business insight. Currently leading Customer Analytics Engineering at The Magnum Ice Cream Company, he previously architected Procurement AI programs and end-to-end analytics infrastructure at Unilever, including geospatial pipelines, graph databases, and complexity-reduction ETL. Comfortable bridging science and product, he began his career in R&D and holds a PhD in Surface and Colloid Science, which informs a methodical, experimental approach to data problems. He combines hands-on pipeline and model development with people leadership, aligning technical strategy to deliver production-ready solutions. Notable but less obvious: he has translated wet-lab rigor into scalable data engineering practices, prototyping novel integrations like Google Earth Engine with Databricks to answer long-term sourcing questions. Based in the NYC metro area, he excels at turning ambiguous, highly connected datasets into clear, decision-driving analytics.
8 years of coding experience
15 years of employment as a software developer
Master of Science (MS), Materials Science, Master of Science (MS), Materials Science at Binghamton University
Doctor of Philosophy - PhD, Surface and Colloid Science, Doctor of Philosophy - PhD, Surface and Colloid Science at Columbia University