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Jamie Chen

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Jamie graduated with high honors from the College of William & Mary with a double major in math and marketing, a unique combination that enabled her to tackle problems logically and creatively. Throughout her coursework, she was intrigued by permutations that could impact image processing and conducted research on efficient number sorting. In addition to coursework, she spent one summer providing market entry strategies eventually adopted by a start-up company in Palo Alto, and prior to that, a consulting internship with Deloitte Shanghai office.

After graduation, Jamie joined Ernst & Young’s Quantitative Statistics group to further apply her analytical skills and solve business challenges across different industries. She quantified the potential economic impact for various companies at a regional, state and national level so that companies could communicate their impact with government officials. Jamie also utilized SAS to design efficient samples from large populations and extrapolated companies’ IRS allowable tax deductions. Additionally, she launched web surveys, analyzing and visualizing data to provide meaningful insights. Jamie played a leading role in many projects and added unique value to the team by combining innovation with her technical background.

Three years of working experience helped Jamie realize her passion for specializing in data science and becoming a decision-maker who drives impact. She is excited to dive deep into the data mining algorithms through the MSiA program and make better use of data with a cohort of talented aspiring scientists.