Hong Yue
About Hong Yue
Hong Yue is a Data Science Fellow at SharpestMinds in Vancouver, Canada, where he has worked since 2019. He has developed machine learning applications and achieved notable success in forecasting match outcomes.
Work at SharpestMinds
Hong Yue has been employed as a Data Science Fellow at SharpestMinds since 2019. In this role, he has contributed to various data science projects, including the deployment of an interactive Streamlit application on Heroku. This application allows users to configure machine learning models and make match predictions, showcasing his skills in practical data science applications.
Education and Expertise
Hong Yue studied at Monash University, where he earned a Bachelor of Commerce (Honours) in Econometrics in 2018. His academic background also includes a focus on Actuarial Science and Finance, as part of the Commerce Scholars Program from 2015 to 2017. This educational foundation has equipped him with a strong understanding of quantitative analysis and data-driven decision-making.
Background in Data Science
Before his role at SharpestMinds, Hong Yue worked at Monash University as a Teaching Associate from 2018 to 2019. He also gained experience as an Actuarial Intern at AIA for two months in 2017. His diverse background in academia and industry has contributed to his expertise in data science and analytics.
Achievements in Data Science
Hong Yue has demonstrated his data science capabilities by building a data science pipeline that achieved a 76% accuracy rate in forecasting match outcomes for the 2020 Australian Open. He has also presented his findings at a Data Science meetup, aiming to educate aspiring data scientists and produced educational content on Bayesian Inference.