Synopsis:

TTX Company is applying innovative data science solutions to railcar maintenance for their fleet of 220k railcars. They are developing machine learning models and advanced analytics techniques to tackle tough business challenges, automate processes and drive business value across the organization. This presentation will provide an introductory overview of machine learning and provide a foundational context for how the data science work at TTX has helped them evolve their business processes and enhance decision making.

About Kristina Chambers

Kristina Chambers is the Director of Operations Strategy and Analytics at TTX Company in Chicago, Illinois. TTX is North America’s largest provider of railcars, and rail related services. She leads a data science and strategic planning team to design, develop and implement innovative solutions that help optimize railcar maintenance and provide enterprise level insights for business analytics and process improvement. Prior to joining TTX in 2013, she held various senior leadership positions in Finance at GE across multiple business units in the U.S. and Europe over 12 years. She is fluent in German and worked in Frankfurt, Hamburg and Munich.
She holds a BA in Economics from the University of Illinois at Urbana-Champaign and will complete her MBA from Northwestern University’s Kellogg School of Management in June 2019.