Matthew Walz
About Matthew Walz
Matthew Walz is the Lead Data Scientist for Consumer & Market Intelligence at General Mills and a Statistical Methodology Consultant at Who's Saving The Planet?. He specializes in modeling consumer behavior using machine and deep learning techniques and is based in St. Paul, Minnesota.
Current Position at General Mills
Matthew Walz serves as the Lead Data Scientist for Consumer & Market Intelligence at General Mills. Based in Golden Valley, Minnesota, he has been in this role since May 2021. His responsibilities include modeling consumer behavior using machine learning and deep learning techniques. This position leverages his strong background in statistics to analyze and interpret complex data sets to inform marketing strategies.
Consultancy Role at Who's Saving The Planet?
Matthew Walz currently contributes as a Statistical Methodology Consultant at Who's Saving The Planet? This role allows him to apply his expertise in statistical analysis and machine learning to support the organization’s goals. His involvement underlines his interest in using data science to address environmental and sustainability challenges.
Previous Experience at Who's Saving The Planet?
Before his consultancy role, Matthew worked as a Data Scientist at Who's Saving The Planet? for nine months from 2020 to 2021 in New York, New York. During this time, he was engaged in developing data-driven solutions to environmental challenges, using his expertise in statistical methods and machine learning.
Academic Background and Teaching Experience at Binghamton University
Matthew Walz was an Instructor and Research Assistant at Binghamton University from 2017 to 2021. During his tenure, he completed his Ph.D. in Political Science and Government. He also earned a Master of Arts in the same field and contributed to academia through teaching and research. His research interests included applying advancements in machine learning to behavioral research.
Educational Qualifications
Matthew holds a Ph.D. and an MA in Political Science and Government from Binghamton University, achieved between 2017 and 2021. He also earned an MA in History from St. Cloud State University and a Bachelor's degree in Sociology from the University of Minnesota. His educational background is complemented by his specialization in computational techniques and statistics, providing a robust foundation for his roles in data science.