Summary
Eɴǫᴜɴ Wᴀɴɢ is a senior data scientist in Shanghai with 11 years’ experience driving digital transformation across automotive, banking, retail, and real estate. At Volvo Cars APAC he helped build the Data & Analytics function from scratch, leads cross-department CoE initiatives, and ships end-to-end data products and MLOps on AWS. Previously at IBM he led applied AI for wholesale banking, delivering graph-based solutions for fraud, identity resolution, and risk propagation that pushed clients to industry-leading performance. He is a hands-on engineer who publishes practical ML tooling—BatCat and GossipCat—on PyPI to streamline cloud workflows and model lifecycle management. Trained in mathematics and applied statistics (Colorado State University), he combines quantitative rigor with strategy consulting experience to align analytics with enterprise objectives. Colleagues note his blend of evangelism, teaching (weekly workshops for citizen data practitioners), and production-grade engineering as a distinguishing strength.
10 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Mathematics, Bachelor's Degree, Mathematics at Colorado State University
Bachelor’s Degree, Double major: Mathematics, Finance, Bachelor’s Degree, Double major: Mathematics, Finance at Hunan University
Japanese, Chinese, English