Hao Zeng is a risk-focused data analyst with 12 years of cross-industry experience translating large-scale data into actionable business intelligence for banks, fintechs, and infrastructure agencies. Currently at DBS Bank, he combines deep SQL, Python, and BI tooling expertise—honed at Workato, Bybit, and Circles.Life—to build automated ETL pipelines, optimize dashboard performance, and deliver metrics used by senior management. He has a strong engineering foundation (MS Transportation Engineering, civil engineering background) that informs his rigorous approach to data quality, table design, and performance tuning. Notably, he has led migrations from spreadsheets to enterprise BI, cut report refresh times by ~40–50%, and created 100+ user profile tags for precision marketing in crypto. Comfortable in global, multilingual teams, Hao also bridges technical and non-technical stakeholders to standardize metric definitions and documentation.
12 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Transportation Engineering, 3.7/4.0, Master of Science - MS, Transportation Engineering, 3.7/4.0 at University of Washington
Bachelor's degree, Civil Engineering, Bachelor's degree, Civil Engineering at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Bachelor of Engineering (B.Eng.), Civil Engineering, Bachelor of Engineering (B.Eng.), Civil Engineering at National University of Singapore / NUS
Contributions:12 commits, 12 pushes, 1 branch in 9 months
reactvscodevscode-extensionjavascriptvscode-i18n
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