Yat Hong Low
About Yat Hong Low
Yat Hong Low is an AI Product Manager at MoneyLion in Kuala Lumpur, Malaysia, with a background in data science and software engineering.
Current Role at MoneyLion
Yat Hong Low is currently serving as an AI Product Manager at MoneyLion in Kuala Lumpur. In this role, he oversees the data team responsible for the Discover Feed, which is the landing page of the app. He prioritizes data product backlogs and user stories to align them with business objectives. His responsibilities also include running A/B tests on feed personalization to balance revenue generation and retention.
Experience at Persuasion Technologies
Yat Hong Low worked at Persuasion Technologies Sdn Bhd as a Data Team Lead from 2020 to 2022 and as a Data Scientist from 2019 to 2020. During his tenure, he led the development of user segments for lifecycle targeting and feed personalization. Additionally, he was involved in developing and experimenting with feed and content personalization using recommender systems and user personas.
Research Assistant Roles
Before joining Persuasion Technologies, Yat Hong Low held research assistant roles at Universiti Tunku Abdul Rahman (UTAR) from 2017 to 2019 and at NextLabs, Inc. from 2017 to 2018. His research work spanned various analytical and experimental projects, which likely provided him with a solid foundation in data science and machine learning.
Academic Background in Science and Engineering
Yat Hong Low holds a Master of Science (MS) degree in Machine Learning, which he obtained from Universiti Tunku Abdul Rahman (UTAR) between 2017 and 2019. He also earned a Bachelor's degree in Physics from the same university, completing it in 2016. His academic background provided him with robust knowledge and skills in scientific research and quantitative analysis.
Software Engineering and Early Career
In the early stages of his career, Yat Hong Low worked as a Software Engineer at Software International Corporation (M) from 2016 to 2017. He also worked as a Calibration Technician at VNA Engineering in 2014 for two months. This early career experience contributed to his comprehensive understanding of engineering principles and software development.