Summary
Linna Wang is a data analyst with 11 years of experience who blends rigorous statistical training (PhD and MS in Statistics) with practical data-product delivery in market research and academia. At NMG Consulting she leads end-to-end survey analytics—cleaning multi-source data, applying inferential methods in SAS, and delivering insights via PowerBI and polished client presentations. Her research background at the University of Cincinnati includes building an R package for model-visualization, applying Bayesian and deep learning methods, and translating academic methods into reproducible analysis pipelines. Comfortable in Python, R, SAS and SQL, she pairs sophisticated modeling (random forests, clustering, Bayesian approaches) with a user-focused instinct for actionable storytelling. Colleagues note she proactively improves code and data structures to streamline workflows, a skill rooted in both teaching and research roles. Based in Toronto, she’s actively seeking opportunities to turn complex statistical ideas into business impact.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, 3.86/4.0, Doctor of Philosophy - PhD, Statistics, 3.86/4.0 at University of Cincinnati
Bachelor's degree, Logistics and Supply Chain Management, Bachelor's degree, Logistics and Supply Chain Management at Donghua University
Chinese, English