Mark Ferguson is a seasoned data scientist and educator with extensive experience in quantitative finance, analytics, and data science integration. Currently serving as the Lead Data Scientist at 84.51˚ since May 2021, Mark focuses on tasks related to Kroger's Clickstream data, including data quality and anomaly detection. As an Adjunct Faculty Instructor at the University of Cincinnati, Mark teaches Python for Finance and is preparing to instruct a computational methods class for the Finance MS program. Past roles include a Quantitative Finance Analyst and Specialist as an Independent Consultant, where Mark developed algorithmic trading strategies, and a Contractor in Data Science for Eliassen Group, contributing to projects for Kroger. Mark's earlier experience includes leading a quantitative research team at Quantifi, Inc. and founding JuliusBaer.Net, focusing on financial modeling and portfolio analysis. Mark holds a Master's from Stanford University Graduate School of Business, an MA in Probability and Statistics from Indiana University Bloomington, and a BA in Mathematics from Michigan State University.
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