Junyi W is a data engineer with a decade of applied experience and an MS in Intelligent Transport Systems from NUS, currently based in Singapore and certified as an Associate Data Engineer and Associate Data Scientist. He has built production-grade automation and data pipelines across finance, shared mobility, semiconductor manufacturing, and internet platforms—reducing document generation from minutes to seconds at OCBC and deploying monitoring and ETL workflows on Databricks and Argo. His work blends software engineering practices (modularization, testing, monitoring) with data science techniques (regression, feature engineering, causal analysis) to deliver robust, scalable solutions that improve operational SLAs and decision-making. Notably, he automated a cross-system data dictionary into Notion and implemented predictive digital-twin tooling for smart warehouses, highlighting a knack for pragmatic integrations that surface actionable insights. Junyi is actively pursuing roles in Singapore where he can pair his systems-first engineering approach with a passion for using data to drive efficiency and innovation.
11 years of coding experience
2 years of employment as a software developer
江苏省盐城中学
Bachelor of Engineering - BE, Traffic Engineering, Bachelor of Engineering - BE, Traffic Engineering at Southeast University
Exchange Student, Data Science, Exchange Student, Data Science at University of California, Los Angeles
Master of Science - MS, Intelligent Transport Systems, Master of Science - MS, Intelligent Transport Systems at National University of Singapore
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