Zhen Gong
About Zhen Gong
Zhen Gong is a Data Scientist specializing in Risk Analytics at CIBC in Toronto, Ontario, Canada. He has a background in machine learning and data science, with experience in academia and industry.
Title and Current Position
Zhen Gong works as a Data Scientist in Risk Analytics at CIBC, based in Toronto, Ontario, Canada. In this role, which he has held since 2018, Zhen specializes in the development of machine learning models and pipelines, integrating business domain knowledge into his analytical approaches.
Previous Experience
Before joining CIBC, Zhen Gong worked as a Teaching Assistant at the University of Toronto Scarborough. He held this position from 2017 to 2018, providing assistance in academic settings for a span of 7 months. This role was located in Toronto, Ontario, Canada.
Education and Expertise
Zhen Gong earned a Master of Management in Artificial Intelligence from Smith School of Business at Queen's University between 2021 and 2022. Prior to that, he completed an Honors Bachelor of Science - HBSc in Machine Learning and Data Science Specialist from the University of Toronto Scarborough, where he studied from 2013 to 2018. His educational journey began with a High School Diploma from Columbia International College, completed in 2013.
Technical Skills and Tools
In his current role at CIBC, Zhen Gong utilizes a variety of technical tools and platforms, including Anaconda Enterprise, Python, SAS, Linux, Hadoop, and SQL Server. These tools support his development of machine learning models and the completion of complex analytical tasks.
Project Management and Leadership
Zhen Gong leads multiple projects simultaneously, efficiently managing resources to ensure timely delivery. He presents the outcomes of these projects to stakeholders and senior leadership, leveraging his strong communication skills. He is regarded as a subject matter expert, offering deep business and technical insights within his department.