Andrew Fong
About Andrew Fong
Andrew Fong is an Olefins Optimization Engineer at ExxonMobil, specializing in process optimization and economic modeling for the Gravenchon, France Olefins plant.
Current Position at ExxonMobil
Andrew Fong currently works at ExxonMobil as an Olefins Optimization Engineer since 2020. Based in Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia, he improves process optimization signals for the Gravenchon, France Olefins plant remotely. His role involves upgrading and sustaining key economic models for plant production plan strategies. As the main point of contact for process modeling queries, he also guides economists on modeling strategies to address business problems, balancing accuracy and complexity.
Previous Roles at ExxonMobil
Before his current position, Andrew Fong held two other roles at ExxonMobil. From 2018 to 2020, he was an Olefins Feedstock Engineer in Singapore, and from 2016 to 2018, he worked as an Olefins Performance Analysis Engineer in Kuala Lumpur, Malaysia. These roles gave him extensive experience in olefins feedstock handling and performance analysis, laying a foundation for his subsequent work in optimization and modeling.
Early Career and Internship
Andrew Fong's early career includes a stint as a Risk and Safety Intern at ERM: Environmental Resources Management in Kuala Lumpur, Malaysia, in 2015. During this 2-month internship, he gained insights into risk assessment and safety protocols, which have likely contributed to his meticulous approach in his later engineering roles.
Educational Background
Andrew Fong pursued higher education at The University of Manchester, where he earned an MEng in Chemical Engineering from 2012 to 2016. Before university, he attended Taylor's College for a year from 2011 to 2012 and completed secondary education at SMK Bandar Utama 4 from 2006 to 2010. His strong educational background in chemical engineering has provided a solid foundation for his expertise in the olefins sector.
Technical Skills and Expertise
Andrew Fong is proficient in ROMeo and PIMS process modeling software. His primary responsibilities include running sensitivity cases to determine optimization handles for maximizing production profitability. Additionally, he stewards key model gaps and health to several stakeholders, ensuring the integrity and accuracy of economic models used in plant production strategies.