Adelyn Yeoh

About Adelyn Yeoh

I\'m a data scientist with deep experience building and scaling data-powered products across ML, experimentation, and product analytics. At Shopify, I’ve led cross-functional initiatives that drive measurable impact—from optimizing fraud intervention models and designing rigorous global holdout strategies to unlocking hundreds of millions in payment volume through multi-armed and A/B experiments. I’ve also shaped product direction through metric design, funnel analysis, and user behavior insights across both consumer and merchant-facing surfaces. My work has influenced VP-level dashboards, product adoption strategy, and even public sustainability features like Shopify’s Planet app.My toolkit spans Python, SQL, Spark, and GCP, with expertise in causal inference, bandits, and data modeling pipelines. I’ve built systems to forecast macroeconomic behavior in finance, architected analytics infrastructure across complex conversion journeys, and mentored teams across experimentation, ML, and instrumentation. Whether leading metric redesigns for product launches or developing algorithms that power user-facing experiences, I bring a rigorous, product-first lens to data science that consistently bridges strategy and execution.

Experience

1. Senior Data Scientist

   Shopify

   Sep 2021 — Present · San Francisco, CA, US

   Payment and Platform Fraud (Fraudulent chargeback detection, Buyer Risk Vectors, Platform Risk Vectors)* Shop Promise (Expected Delivery Dates ML service)* Shipping, Fulfillment & Logistics team

Education

• Carnegie Mellon University - Tepper School of Business

  Master of Science, Financial Engineering

• Mount Holyoke College

  Bachelor of Arts, Mathematics

Skills

• Microsoft Excel
• Teamwork
• Spss
• Java
• Python
• Leadership
• Management
• Numpy
• Valuation
• Data Analysis
• Statistics
• Research
• Sql
• C++
• Microsoft Access
• Vba
• Public Speaking
• Community