“Women in Math and Stat” Team Places 2nd at 2019 Student Data Science Challenge
The University of Minnesota “Women in Math and Stat” team placed 2nd out of 24 graduate-level teams at the 2019 MinneMUDAC Student Data Science Challenge. The team — Somyi Baek, Cora Brown, Sarah Milstein, and Yu Yang (faculty advisor: Professor Gilad Lerman) — also won the Analytical Acumen Award.
For its fourth annual data science challenge, MinneAnalytics posed the problem of predicting the price of soybeans in the volatile market of 2019. The project consisted of graduate students, undergraduates, and professionals in the working with real-world data, conducting exploratory data analysis, and building an informed model to predict the price of soybeans.