Fan Zhang
About Fan Zhang
Fan Zhang is a Data Scientist with a Master's Degree in Statistics from the University of Toronto. He has extensive experience in data science and analytics, currently working at Riot Games since 2019 and previously holding positions at various organizations including Rubikloud Technologies and TELUS.
Work at Riot Games
Fan Zhang has been employed at Riot Games as a Data Scientist since 2019. In this role, Zhang applies data analysis techniques to support game development and enhance player experiences. The position involves leveraging statistical methods and data-driven insights to inform decision-making processes within the company.
Education and Expertise
Fan Zhang holds a Master’s Degree in Statistics from the University of Toronto, which was completed in 2011. Prior to this, Zhang earned a Bachelor’s Degree in Mathematics and Integrative Biology from the University of Toronto Scarborough in 2009. This educational background provides a strong foundation in quantitative analysis and research methodologies.
Professional Background
Fan Zhang has a diverse professional background in data science and analytics. Zhang worked at Rubikloud Technologies as a Data Scientist for 11 months in 2016-2017. Prior to that, Zhang served as a Research Assistant at the University of Washington School of Public Health from 2011 to 2012. Additionally, Zhang held positions at BAE Systems Applied Intelligence and theScore, Inc., contributing to various data-driven projects.
Career Progression
Fan Zhang's career includes significant roles in data science and analytics. After working at the University of Washington, Zhang transitioned to BAE Systems Applied Intelligence as a Data Analytics Consultant from 2013 to 2015. Subsequently, Zhang worked at TELUS as a Data Scientist from 2017 to 2019 before joining Riot Games. This progression highlights a consistent focus on data science across multiple industries.