Qualifying control data with propensity score matching

Author's Biography

Dakota Crisp is a data science manager at RXA. With a PhD from the University of Michigan, his hypothesis-driven approach to integrating concepts from neural engineering into the data science space provides a distinctive take on consumer behaviours.

Matt Kristo is the director of analytics at Outsell. He oversees all aspects of data analytics, including the machine learning models that drive Outsell's Customer Data and Engagement Platform. With over a decade of experience at Outsell, Matt has played a significant role in the development of the platform and its framework. He continuously fosters innovation and provides personalised, customer-focused reporting and solutions to Outsell's clients.

Courtney Everest is a data scientist at RXA. With a BA in political science and anthropology and a professional certification in data science, she applies a multidisciplinary perspective to data science. She brings nearly a decade of marketing and advertising experience and deep domain knowledge of the automotive industry and is always looking for opportunities to transform underutilised data into a competitive edge for her clients.

Jenna King is a data scientist at RXA. Using her background in quantitative research planning and algorithmic learning, she leverages statistical rigour and computational efficacy through data science solutions. She has an MS in data science from the University of Michigan.

Emily Brehmer is a data scientist at RXA. With a BS in computer science from Wayne State University, she brings an intuitive insight into data analysis, and a passion for architecting computational solutions that pushes discoveries forward.

Danielle Barnes is the director of data science at RXA. She is an accomplished analytics leader with extensive experience across the entire data life cycle. Her work directing enterprise analytics initiatives for companies across various industries has made her a powerhouse for realising visions in complex environments. She is a Spartan Superfan with a BA in mathematics, MS in statistics, and is currently pursuing a PhD in data science, all from Michigan State University.

Jonathan Prantner is the chief analytics officer and co-founder of RXA. His approach to applied mathematics has pushed analytics to the limits for over two decades. Jonathan's career has spanned educational research, automotive, CPG, travel and healthcare. At RXA, he leads efforts surrounding applied artificial intelligence and machine learning as well as integrating advanced analytics with data visualisation platforms. Jonathan is a celebrated thought-leader and recipient of multiple data science patents.