Summary
Iris Wang is a data engineer with nine years of experience building production-ready simulation models and automated data pipelines for sports betting, marketing, and hospitality analytics. Her background blends a PhD in social psychology with practical data science training, enabling her to translate complex behavioral research into robust machine learning and statistical solutions at scale. She has led end-to-end projects using Python, Golang, Java, SQL, Apache Airflow, and Google Cloud, and has deployed simulation-based models across basketball, football, and soccer. Known for cross-functional collaboration, Iris partners closely with engineering, product, and trading teams to operationalize models and impact business decisions. Beyond industry work, she has a strong research pedigree—authoring journal articles and grant-funded studies—which surfaces in her rigorous experimental approach to model validation and A/B-style analyses. Now based in Ann Arbor and currently at Hard Rock Digital, she brings a rare combination of behavioral science insight and production engineering.
8 years of coding experience
9 years of employment as a software developer
Certificate Data Science, Certificate Data Science at University of Michigan
High School Diploma International Baccalaureate, High School Diploma International Baccalaureate at Firestone High School
Bachelor of Arts (BA) with Highest Distinction Psychology & Spanish, Bachelor of Arts (BA) with Highest Distinction Psychology & Spanish at University of Virginia
spanish (speak+read+write), chinese (speak)