Summary
Ian Auger is a Senior Data Analyst with a decade of cross-functional experience turning messy operational data into measurable business impact across food delivery and restaurant operations. He combines hands-on SQL and Python pipeline engineering with applied ML and experimentation to slash refunds, improve item availability, and optimize marketing spend—delivering results like a 12% reduction in long-term refunds and a 50% cut in data latency. Trained as a chef and now completing an M.S. in Data Science at Drexel, Ian uniquely blends frontline hospitality intuition with scalable analytics, making him adept at translating product and CX challenges into model-ready datasets and decision-support dashboards. He’s pragmatic about production: building monitoring, alerting, and centralized reporting layers (Looker, BigQuery/GCP, dbt-style modeling) that eliminate ad-hoc requests and keep stakeholders aligned.
10 years of coding experience
6 years of employment as a software developer
Grande Diplome, Culinary Arts/Chef Training, Grande Diplome, Culinary Arts/Chef Training at International Culinary Center
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Drexel University College of Computing & Informatics
Bachelor of Arts (B.A.), History, English, Bachelor of Arts (B.A.), History, English at University of Rochester