Summary
Byron Tang is an Associate Director of Data Analytics with nine years of experience building ETL pipelines, analytics data models, automated reporting, and interactive dashboards to drive data-led decisions. He blends rigorous econometric and predictive modeling skills (including ensemble and deep learning methods) with hands-on tooling expertise in SQL, R, Python, Tableau, Alteryx, and AWS to operationalize analytics at scale. At Unite Us he progressed through multiple senior analytics roles, leading dashboard prototyping, performance tuning, and troubleshooting while embedding reproducible workflows and Hyper API automation. Earlier work in media and market research demonstrates a strong track record of improving KPI optimization, cleaning ingestion pipelines, and raising data integrity from single digits to near-perfect levels. Byron’s background in business analytics and ML/AI studies gives him a rare combination of statistical rigor and production-oriented engineering, plus practical experience handling endogeneity and advanced causal techniques. He’s based in Chicago and known for turning complex statistical methods into pragmatic dashboards and automated solutions that stakeholders actually use.
9 years of coding experience
13 years of employment as a software developer
Bachelor's degree Business Administration and Management General, Bachelor's degree Business Administration and Management General at National Chengchi University
Master of Science (M.S.) Business Analytics, Master of Science (M.S.) Business Analytics at UMN Carlson School of Management
Postgraduate Diploma Machine Learning and Artificial Intelligence, Postgraduate Diploma Machine Learning and Artificial Intelligence at Columbia Engineering
Exchange Student Business, Exchange Student Business at SGH Warsaw School of Economics
Chinese, English, Japanese