Jia Hao Lo
About Jia Hao Lo
Jia Hao Lo is a Data Science Graduate Consultant with a background in Civil Engineering and a Master's degree in Analytics from Northwestern University. He has experience in various roles, including internships and consulting positions, and is dedicated to applying data science to solve complex engineering and business challenges.
Current Role at ABC Supply Co. Inc.
Jia Hao Lo currently serves as a Data Science Graduate Consultant at ABC Supply Co. Inc. in Chicago, Illinois. He has held this position since 2021, contributing to various data-driven projects within the company. His role involves applying data science techniques to solve complex business problems, leveraging his academic background and practical experience.
Previous Experience in Data Science
Prior to his current role, Jia Hao Lo worked at Greenwich.HR as a Data Science Graduate Consultant for two months in 2021. He also completed an eight-month On-Job Training at PETRONAS from 2020 to 2021, where he gained hands-on experience in data science applications. These roles helped him understand the critical role of data science across different industries.
Educational Background in Engineering and Analytics
Jia Hao Lo earned his Bachelor's degree in Civil Engineering from Universiti Teknologi PETRONAS, studying from 2015 to 2020. He is currently pursuing a Master of Science in Analytics at Northwestern University, which he began in 2021. His education has provided him with a strong foundation in statistics and coding, essential for his work in data science.
Internship Experience and Skills Development
In 2019, Jia Hao Lo completed a seven-month Engineering Internship at Web Structures, where he developed practical skills in engineering and data analytics. His experience as an Exchange Student at Lehigh University in 2017 for four months further broadened his perspective on applying engineering principles in diverse contexts.
Passion for Integrating Engineering and Data Analytics
Jia Hao Lo is passionate about merging his engineering knowledge with data analytics to tackle multi-disciplinary challenges. He recognizes data science as a vital skill applicable across various sectors, which drives his commitment to leveraging data for effective problem-solving in both engineering and business environments.