Bopeng Zhang

Bopeng Zhang has several years of work experience in the field of data science. Bopeng started their career as a Research Assistant at Georgia Institute of Technology, where they collaborated with teams on various initiatives and solved complex problems using algorithms and simulation models. As a Postdoctoral Fellow at the same institute, Bopeng developed a data-driven machine learning model for forecasting parameters in water treatment plants, leading to a 30% increase in system performance.

Bopeng then worked as a Data Scientist at Scientific Leads, where they conducted web crawls and performed in-depth analysis on eBay listings to provide insights for executive decision-making. Bopeng also built a predictive list ranking model that resulted in a 20% boost in client sales revenue.

Bopeng later joined CareerBuilder as a Data Scientist, where they were involved in the full model development cycle. Bopeng constructed a learning to rank model on the Solr platform, improving search relevancy by 5%. Additionally, Bopeng performed data analysis on product datasets using Hadoop ecosystems to generate key matrices and facilitate executive decisions.

Bopeng also had a brief role as a Credit Scorecard Risk Analyst Intern at MUFG Union Bank, where they focused on designing and optimizing machine learning models for credit risk analysis.

Overall, Bopeng Zhang has a strong background in data science, with expertise in model development, data analysis, and utilizing machine learning algorithms to drive business improvements.

Bopeng Zhang obtained a Bachelor of Science degree in Environmental Science from Peking University in 2008. Bopeng further pursued their education at Dalhousie University and completed their Master of Applied Science degree in Environmental Bioremediation from 2008 to 2011. In 2013, they enrolled at the Georgia Institute of Technology and obtained their Doctor of Philosophy (Ph.D.) in Environmental Engineering in 2018. Additionally, Bopeng Zhang obtained a Master's Degree in Computational Science and Engineering from Georgia Institute of Technology from 2016 to 2017. In December 2016, they obtained a certification in Machine Learning from Coursera Course Certificates.