Keat Yang Koay
Senior Staff Data Scientist @Shopify
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WORK HISTORY
Senior Staff Data Scientist @Shopify
Vancouver, BC, CA
Currently working on SimGym (Cut down A/B testing time, or get alternative to running A/B tests by using AI agents mimicking a merchant\'s actual buyer to provide feedback on online storefront changes). Check it out here accomplishments:1. Built an LLM pipeline that analyzes merchant theme codes and generates recommendations for conversion improvement and assessment of code changes. Helped with the launch and data-driven iterations of Shopify Bundles, increased variant limits (highly requested merchant feature), Catalogs (now part of Markets) in Merchandising.3. Led the data team for Custom Storefronts (Hydrogen, Headless, Shopify Web Components) including the onboarding of multi-million dollar GMV merchants who adopted Shopify\'s \"headless\" solutions. Significantly improved the time-to-connect of 3rd Party Domains to Shopify, enabling merchants to onboard to Shopify faster through data analytics and A/B testing on enhancements to domain flows.5. Improved Product Marketing analytics by building a strong analytics pipeline and reporting on Shopify Editions. Automated metric anomaly detection and growth accounting to automate data science tasks, leading to 20% less full time employee time needed to support a domain. Owner of Shopify\'s data team\'s pair programming loop.
EDUCATION
Taylor's College
Ontario Secondary School Diploma, Social Sciences and Mathematics
McGill University
B.A., Joint Honours Economics and Finance;Minor in Mathematics
SKILLS
ABOUT KEAT YANG KOAY
Experienced data science manager with established leadership and technical skills in the Platform as a Service and Commerce Domain. I have experience leading a data science team on end-to-end execution to automate processes (chargeback disputes automation), build dimensional data model, build insightful dashboards, support forecast and financial planning, generate insights and recommendations for acquisition/business process improvement and data story telling (for earnings call and board updates).
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