Lawrence Ko
About Lawrence Ko
Lawrence Ko is a data scientist with extensive experience in data analysis and education. He has worked at various institutions and companies, including Feedzai, Ogilvy, and The Hong Kong University of Science and Technology.
Current Role at Feedzai
Lawrence Ko has been employed at Feedzai as a Data Scientist since 2019. In this role, he applies his expertise in data analysis and machine learning to enhance the company's capabilities in fraud detection and risk management. His work contributes to the development of innovative solutions that help businesses manage financial risks effectively.
Previous Experience in Data Analysis
Before joining Feedzai, Lawrence Ko worked at Ogilvy as a Junior Data Analyst from 2018 to 2019. His responsibilities included analyzing data to support marketing strategies and improve client outcomes. He also served as an Analyst at Euromonitor International in 2011, where he focused on market research and data interpretation.
Educational Background in Data Science
Lawrence Ko earned a Master's degree in Data Science from Monash University, where he studied from 2016 to 2018. This program provided him with a solid foundation in statistical analysis, machine learning, and data management. He also holds a Master's degree in Economics from The University of Queensland, achieved in 2013.
Instructional Experience at The Hong Kong University of Science and Technology
From 2014 to 2016, Lawrence Ko worked as an Instructional Assistant at The Hong Kong University of Science and Technology. In this position, he supported faculty members in delivering course content and assisted students in understanding complex concepts in data analysis and economics.
Undergraduate Studies in Economics
Lawrence Ko completed his Bachelor's degree in Economics at Rutgers University - New Brunswick, studying from 2005 to 2010. This foundational education equipped him with essential analytical skills and knowledge in economic theory, which he later applied in his graduate studies and professional roles.