Summary
Martin Cheung is an AI and analytics leader with 11 years of experience building data-driven solutions across telecom, utilities, banking and industrial IoT, now leading AI and Analytics at Skyler. He combines hands-on data science and engineering—spanning Python/R, Spark, AWS/GCP and production ML—with team leadership honed through progressive roles at relayr where he moved from Data Scientist to AI Technical Lead. Martin has a strong track record in predictive maintenance, network incident prediction and customer analytics, and is comfortable translating research into production impact for business stakeholders. Trained in engineering and business analytics at the University of Sydney with study abroad at Purdue, he pairs technical rigor from mechatronics with commercial intuition. An engaging collaborator, he often bridges product, engineering and research to deploy pragmatic AI solutions rather than purely academic prototypes.
11 years of coding experience
8 years of employment as a software developer
The University of Sydney
Study abroad Engineering, Study abroad Engineering at Purdue University
Chinese, Chinese, English