Isaac Yuan is a data engineer with eight years of experience building and optimizing data pipelines across e-commerce and analytics firms in Singapore. He has executed end-to-end ETL architectures using Airflow, Snowflake, CloverDX and Python to accelerate reporting, inventory and customer journey analyses, delivering measurable business impact such as a 20% lift in online-to-offline conversion and substantial reductions in lead time. Comfortable translating product and client needs into scalable data services, he has launched internal products from beta to production and automated workflows that cut deliverable wait times by 30–60%. With a strong foundation in statistics from NTU and early research experience training CNNs, he blends rigorous quantitative thinking with practical engineering. Outside work he experiments with video editing and VFX — a creative outlet that complements his analytical problem-solving — and stays active through sports like bowling. Based in Singapore, he thrives on cross-functional collaboration and rapid iteration to turn disparate data into actionable insight.
8 years of coding experience
3 years of employment as a software developer
Honours (Distinction), Honours (Distinction) at Nanyang Technological University
Contributions:7 pushes, 1 branch in 1 year 3 months
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