Yuanyuan Guo
About Yuanyuan Guo
Yuanyuan Guo is a Principal Data Scientist with extensive experience in data science and machine learning, currently working at Cvent. She has held various roles in academia and industry, including positions at Lingnan University, Tencent, IBM, and the National Research Council Canada.
Current Role at Cvent
Yuanyuan Guo currently serves as Principal Data Scientist at Cvent, a position held since 2023. In this role, Guo applies extensive experience in data science to drive insights and innovations within the organization. Prior to this, Guo worked as Lead Data Scientist at Cvent from 2021 to 2023, contributing to various data-driven projects and enhancing the company's analytical capabilities.
Previous Experience at Cvent
Before becoming Principal Data Scientist, Yuanyuan Guo held the position of Senior Data Scientist at Cvent from 2017 to 2021. During this time, Guo focused on developing and implementing data science solutions that improved operational efficiency and decision-making processes. This role built upon Guo's previous experiences in data science and analytics.
Educational Background
Yuanyuan Guo has a solid educational foundation in computer science and technology. Guo earned a Bachelor’s degree in Computer Science and Technology and a Master’s degree in Computer Application Technology from China University of Geosciences. Additionally, Guo completed a PhD in Computer Science with a focus on Machine Learning at the University of New Brunswick.
Professional Experience in Data Science
Yuanyuan Guo has accumulated significant experience in data science across various organizations. Prior to joining Cvent, Guo worked as a Senior Data Scientist at Forcepoint, LLC from 2015 to 2017, and as a Data Mining Engineer at Tencent from 2007 to 2008. Guo's career also includes roles at IBM and the National Research Council Canada, where skills in machine learning and software development were further developed.
Technical Skills and Expertise
Yuanyuan Guo possesses expertise in machine learning tools, particularly in R and Python. Guo has a strong foundation in advanced mathematics and probability theory, which supports the practical application of anomaly detection and time series analysis. Additionally, Guo is familiar with various programming languages, including Perl, VB, ASP, and Octave, and has solid knowledge of graph databases, specifically Gremlin/Tinkerpop.