Summary
Travis Huang is a growth marketing operations leader and data scientist with nine years of experience building end-to-end analytics and ML solutions across energy, commodities, and consumer tech. He blends hands-on coding in R, Python, Scala and Julia with production data tooling on AWS, Spark, and SQL-based warehouses to translate ambiguous business questions into measurable outcomes. At Apple and prior roles supporting Apple Growth Marketing, he’s combined technical program management with analytics to operationalize experimentation and attribution at scale. As a part-time lead instructor in data science, he also mentors practitioners to adopt reproducible, ML-driven decision workflows. He’s especially interested in leveraging open-source ML stacks and optimization solvers to bring quantitative rigor to teams that historically relied on qualitative judgment. Based in Los Angeles, he pairs product sensibility with a practitioner’s fluency in visualization and distributed processing to drive pragmatic impact.
9 years of coding experience
7 years of employment as a software developer
Master of Science in Business Analytics, Competitive Analytics, Master of Science in Business Analytics, Competitive Analytics at UCLA Anderson School of Management
Data Science Immersive, Data Science, Data Science Immersive, Data Science at General Assembly
Bachelor of Science - BS, Business Administration: Finance, Entrepreneurship, Bachelor of Science - BS, Business Administration: Finance, Entrepreneurship at USC Marshall School of Business
Spanish, Chinese