Summary
Bopeng Zhang is a data scientist with nine years of experience who designs and delivers end-to-end machine learning pipelines that move models from research to production. Based in Atlanta, he has improved search relevancy and product metrics through learning-to-rank systems on Solr and Hadoop ecosystems, and built an entity resolution model that achieved 99.8% accuracy. His background spans academia and industry, including a Ph.D. and postdoctoral work at Georgia Tech where an ANN-based forecast boosted system performance by 30%. Bopeng combines strong feature engineering, ETL, and model evaluation skills (NDCG, precision, CTR) with an ability to translate results for executives across B2B and B2C contexts. He also has a track record of practical impact—driving sales lifts and uncovering crypto exchange arbitrage—reflecting a knack for turning complex data into actionable business value.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Environmental Engineering, 4.0, Doctor of Philosophy (Ph.D.), Environmental Engineering, 4.0 at Georgia Institute of Technology
Master of Applied Science, Environmental Bioremediation, 4.0/4.3, Master of Applied Science, Environmental Bioremediation, 4.0/4.3 at Dalhousie University
Bachelor of Science - BS, Environmental Science, Bachelor of Science - BS, Environmental Science at Peking University