Weijia Zhang

Weijia Zhang is a Machine Learning Engineer at Unit21 since November 2023, specializing in scalable backend services for fraud detection and risk assessment. Prior experience includes serving as a Data Scientist at Uptake from May 2021 to November 2023, where responsibilities included building SaaS products in AWS and leveraging time-series predictive methodologies. Zhang also worked as a Data Science Intern at Uptake in 2020, focusing on data processing pipelines and enhancing data infrastructure. Earlier roles include a Data Analyst position at KIPP Foundation, where data consolidation and testing were key tasks, and a Research Scientist role at the University of California, Berkeley, evaluating social obligations within broadcasting and developing an automated ETL pipeline. Additional experience as a Data Computing Lab Assistant involved engaging students in active learning. Educational qualifications include a Master of Science in Statistics from the University of Washington and dual Bachelor's degrees in Applied Mathematics and Statistics from the University of California, Berkeley.