Yuan Shun Lee
About Yuan Shun Lee
Yuan Shun Lee is a Business Intelligence Intern at Tapestry in Singapore, where he has been working since 2023. He holds a Bachelor's degree in Data Science & Business Analytics from the University of London and has a background in Chemical and Biomolecular Engineering.
Work at Tapestry
Yuan Shun Lee has been serving as a Business Intelligence Intern at Tapestry since 2023. This role is based in Singapore and operates in a hybrid work environment. In this position, Lee focuses on leveraging data analytics to support business decisions and enhance operational efficiency within the organization.
Education and Expertise
Yuan Shun Lee holds a Bachelor's degree in Data Science & Business Analytics from the University of London, where studies commenced in 2021 and are expected to conclude in 2024. Prior to this, Lee earned a Diploma in Chemical and Biomolecular Engineering from Ngee Ann Polytechnic, completing the program from 2016 to 2019. Additionally, Lee studied Chemical and Biomolecular Engineering at East China University of Science and Technology for 11 months in 2018.
Background
Yuan Shun Lee has a diverse educational background with a focus on engineering and data science. Lee's early education in Chemical and Biomolecular Engineering laid a foundation for analytical skills, which have been further developed through studies in data science. This combination of disciplines supports Lee's interest in utilizing technology for societal benefits.
Previous Experience
Before joining Tapestry, Yuan Shun Lee worked as a Laboratory Intern at ALS Life Sciences from 2018 to 2019. This internship provided practical experience in a laboratory setting, contributing to Lee's understanding of scientific processes and methodologies relevant to the field of chemical and biomolecular engineering.
Professional Interests
Yuan Shun Lee is passionate about the application of machine learning and artificial intelligence in developing innovative technologies. Lee is particularly interested in exploring new problem-solving approaches and emphasizes the importance of data-driven insights for effective decision-making. This commitment aligns with Lee's goal to contribute to the evolving field of data science.