Jia Wei Teh
About Jia Wei Teh
Jia Wei Teh is a Data Scientist at MoneyLion in Kuala Lumpur, Malaysia, with a background in Aeronautical Engineering from Imperial College London and extensive experience in programming, data analytics, and machine learning.
Company
Jia Wei Teh is currently a Data Scientist at MoneyLion. The company, based in Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia, leverages data-driven insights to offer personalized financial solutions. Jia Wei Teh joined MoneyLion in January 2021, bringing substantial experience from previous roles.
Title
Jia Wei Teh holds the position of Data Scientist at MoneyLion. His role involves using data analytics, machine learning, and programming skills to derive meaningful insights that help drive business decisions and optimize financial services for users.
Education and Expertise
Jia Wei Teh has an impressive educational background in Aeronautical Engineering, earning a Master of Engineering (MEng) from Imperial College London between 2014 and 2018. Prior to that, he studied at Sunway College in Kuala Lumpur, excelling in Further Maths, Maths, Physics, Chemistry, and Thinking Skills, achieving top grades in the Cambridge GCE A-Level program.
Professional Background
Jia Wei Teh's professional experience spans multiple roles and industries. He was a Technology Associate at Astro in Malaysia from 2018 to 2021. Before that, he served as a President's Ambassador at Imperial College London from 2015 to 2018. He has also participated in job shadowing at Sunway Construction Group Berhad and GE Aviation, in addition to being involved in the University Leadership Development Programme at Axiata in 2015.
Community Involvement and Skills
Jia Wei Teh is an active participant in the AWS Community Builder program, contributing to the AWS community through knowledge sharing and events. He is committed to social responsibility and community development, actively engaging in community services and outreach events. His technical expertise includes programming, data analytics, and machine learning.