Summary
Zehao Huang is a manager of analytics with eight years of experience applying quantitative methods to revenue forecasting, A/B testing, and ETL architecture across media and telecom firms. With an MS in Financial Engineering and ongoing graduate work in Computer Science at Georgia Tech, he blends rigorous mathematical modeling (ARIMA/ETS, random forest, XGBoost) with production tooling in R, Python, SQL, Alteryx and Tableau. He has led end-to-end pipelines ingesting Oracle, Adobe, SQL Server and S3 sources, automated outlier detection and alerting, and delivered actionable dashboards for cross-functional stakeholders. Notably, his UBS research implemented a momentum spillover trading strategy with backtests showing 20–33% average annual returns, demonstrating an ability to translate academic models into high-performing strategies. Based in Atlanta, he seeks roles in quantitative analysis, data science or analytics leadership where statistical rigor and scalable data engineering meet business impact.
8 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
Master's degree Financial Engineering, Master's degree Financial Engineering at Stevens Institute of Technology
Bachelor's degree major in Mathematics and minor in Bussiness Administration, Bachelor's degree major in Mathematics and minor in Bussiness Administration at Baylor University