Charles Snellgrove, President, Minitab
Charles Snellgrove is President of Minitab, a company which helps businesses increase efficiency through smart data analysis and predictive analytics. After joining Minitab in 1999, Mr. Snellgrove held several senior leadership positions before becoming Chief Technology Officer in 2008. In this role, he led the transformation of the development organization, as well as provided vision and technical leadership for creating Companion’s cloud-based dashboard and project repository and built a Mac OS version of Minitab Statistical Software. In 2016, Mr. Snellgrove took over as President where he continued to transform the organization. In 2017 he led the integration of Salford Systems, a data mining and predictive analytics software company. He has also overseen the company’s expansion, opening four new offices on three continents. Mr. Snellgrove has a bachelor’s degree in economics from the University of North Carolina, Chapel Hill; a master’s degree in mathematics from Georgia State University; and an MBA with high honors from the University of Chicago’s Booth School of Business.
Bill Kahn, SVP, Risk Modeling Executive - Bank of America
Bill Kahn runs the 100-person statistical modeling group for consumer banking at Bank of America, America’s second-largest bank. His team provides models for all the consumer businesses, including mortgage, home equity, deposits, small business, investments, auto, and credit card. His team’s models cover all stages of the customer life cycle, from solicitations to charge-offs. These models deal with complex problems in mass-media spending, internet marketing, direct mail targeting, price elasticity, acquisition risk, account management, and recoveries. Given Bank of America’s size, the models have large-scale relevance. For example, they set credit limits for 9% of the country’s $1T credit card debt. Some models are scored, on average, 500 times per second, 31 million seconds a year. And given this importance, the models are built to high standards of performance, reliability, and reproducibility. While his team uses a broad range of statistical technologies, they have deep interest and skill in building highly effective predictive models. As such they are sophisticated users of modern regression tools, including machine learning and the particular value of experimental design when paired with machine learning. Bill has run similarly advanced statistics groups at other financial service, strategy consulting, and manufacturing firms over the last few decades, including AIG, Travelers Insurance, Fannie Mae and Capital One. He has his BA in Physics and MA in Statistics from Berkeley and his PhD in Statistics from Yale.
Adam Russell, Global Operations Master Black Belt, Tate & Lyle
Adam Russell is a degreed chemical engineer, published author, and expert in Continuous Improvement (CI) methodologies for the process manufacturing industries. He has energized and contributed to numerous organizational and customer improvements by employing a combination of evidence-based strategies and an engaging interpersonal style. He was a Chemical Industry veteran with companies such as DuPont and Eastman for nearly 20 years before joining Tate & Lyle in 2017 where he currently serves as a Master Black Belt supporting the training, coaching, and portfolio management needs for several manufacturing plants in the Americas and Europe. In addition to his Continuous Improvement roles, he has held leadership positions in Operations, Supply chain, Engineering, and Human Resources. Adam and his wife, Wendy, reside in Knoxville, Tenn., with their 2 children. Adam is a Tennessee native and enjoys following the Volunteers, hiking in the Great Smoky Mountains, and physical fitness.