The Culverhouse Business Analytics Symposium presented by the Institute of Data and Analytics and the Culverhouse College of Business brings data and analytics to the forefront. Hear from industry experts, and network with hundreds of other data-driven individuals.
Explore past programs, our graduate program offerings, and sign up for email updates on this year’s symposium.
The Symposium will follow all UA-recommended COVID-19 health and safety protocols, as detailed here.
Janine has over 20 years’ experience in a variety of analytic and data science roles. Her experience includes marketing analytics, visualization and dashboard development, non-linear modeling for loss prediction, graph theory for fraud detection, consulting analytics, and predictive modeling for product development.
Manager, Operations Decision Science | Delta Air Lines
Dot Green is a manager of predictive analytics on the Operations Decision Science (ODS) team at Delta Air Lines. She joined the team in 2018 after completing a Master of Science in Analytics at Georgia Tech, concentrating in Business Analytics. Dot also holds a Bachelor of Science in Business Administration, concentrating in IT Management from Georgia Tech. The ODS team provides decision support across all major operational divisions using advanced analytics including machine learning and optimization. Since joining the team in 2018, Dot has led projects spanning data engineering, product development, simulation, and predictive analytics. Dot grew up and currently resides in Atlanta, GA
Jeremy TerBush is a leader in the analytics space with 20 years of experience building solutions and leading global teams in the hospitality, retail real estate, and education industries. He has led the development and execution of corporate strategy for analytics at multiple companies. He is equally comfortable in the board room and the scrum room. TerBush has led the creation of many teams throughout his career and has a proven track record of returning value on analytics investments.
Matt Hall is a Data Scientist on the Data Science Delivery team within USAA Federal Savings Bank’s Fraud and Central Operations organization. He leads a variety of machine learning efforts aimed at preventing fraudsters from accessing members’ accounts. Matt was the head developer on FCO’s interdictive solutions based on machine learning models. In addition to his analytics roles, he leads the internship program for the Data Science Delivery team.
Dr. Ilyas Iyoob is chief data scientist and distinguished engineer at IBM. He pioneered the seamless interaction between machine learning and operations research in the fields of autonomous computing, space tech, and blockchain.