Summary
Sabrina Jiang is a Senior Business Analyst with nine years of experience combining applied statistics, product insight, and data-driven decision making across industries from tech to manufacturing. Currently pursuing a Master’s in Applied Statistics at Cornell, she blends rigorous statistical training (4.0 GPA) with hands-on analytics work—designing forecasting models, running NPS analyses, and proposing A/B test plans during a Microsoft PM internship. Her career spans roles at Vessi and Axtria where she turned messy cashflow and product data into actionable forecasts and SQL-backed data solutions, and she now applies that expertise at West Fraser. Comfortable bridging technical and business stakeholders, Sabrina also teaches statistics workshops and builds client profiling tools, reflecting a rare mix of pedagogy and product sensibility. Based in Canada, she positions machine learning and big-data techniques as levers to improve corporate performance while keeping practical deployment and user impact front and center.
9 years of coding experience
5 years of employment as a software developer
Mathematics, 3.6, Mathematics, 3.6 at New York University
Master's degree, Applied Statistics, 4.0, Master's degree, Applied Statistics, 4.0 at Cornell University
Chinese, English