Summary
Yizhi Zhang is a Data Scientist with 12 years of experience combining rigorous applied mathematics training (MS and PhD) with practical machine learning and engineering to deliver measurable business impact. Currently at Quanta Technology and previously at Jamran, Yizhi built ML-driven pricing and bidding models that lifted bidding success by 55% and consistently outperformed industry benchmarks while cutting computation and operations costs. Skilled in Python, ETL, NLP, web scraping and statistical modeling, he translates messy inputs into production-ready pipelines and forecasts with high accuracy. Based in Las Vegas, he pairs academic depth with product-minded execution—applying mathematical models to customer satisfaction and financial pricing problems. Outside of work he blends coding with strategic risk thinking as an avid poker player, an interest that sharpens his probabilistic intuition and competitive edge.
12 years of coding experience
3 years of employment as a software developer
Master of Science - MS business analytics, Master of Science - MS business analytics at Georgia Institute of Technology
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at Illinois Institute of Technology
English, Chinese