Weichen Zhang is a Data Science Manager at PwC with nine years’ experience blending accounting rigor and advanced data science to modernize workflows in traditional industries. A CPA-turned-data scientist with an MIS from Carnegie Mellon, he has led the development and production deployment of enterprise recommender systems, NER-enabled search web apps, and large-scale text classification pipelines using SparkML and Azure Data Factory. He excels at translating business requirements into auditable data products and has run experiments on model drift detection and online learning for datasets exceeding 15M records. Based in Tampa, he brings cross-functional fluency from audit to product management, enabling smoother collaboration between stakeholders and engineering teams. Outside work he pairs a background in genetics/genomics with endurance pursuits like mountaineering and marathons, reflecting a discipline that informs his systematic approach to data problems.
9 years of coding experience
7 years of employment as a software developer
High School, 4.06/4.00, High School, 4.06/4.00 at Shenzhen Foreign Languages School
Master of Information Systems Management, 3.89/4.33, Master of Information Systems Management, 3.89/4.33 at Carnegie Mellon University - Heinz College of Information Systems and Public Policy
Bachelor’s Degree, Accounting and Economics, 3.81/4.00, Bachelor’s Degree, Accounting and Economics, 3.81/4.00 at The Ohio State University
Pre-mAsking Long reads for Mobile Element inseRtion
Contributions:5 releases, 3 commits, 68 PRs in 1 day
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