As a Minitab trainer, statistical consultant, and designer of Minitab Statistical Software, Cheryl is immersed in the day-to-day problems faced by quality practitioners. Drawing on more than 25 years of experience in teaching, statistical consulting, and software development, Cheryl aims to provide the sound statistical strategies and software tools that professionals need to solve the real-world problems they face on the job. She has worked on the project teams that developed many of Minitab's most popular features, including the Assistant, Design of Experiments, Gage R&R, Reliability, Machine Learning, and Predictive Analytics. She was also one of the developers of Minitab’s online learning solution, Quality Trainer.
In addition to her work with Minitab, Cheryl has provided statistical consulting for research labs, major corporations, and universities. Her employers include Vespa Labs, where she developed a new sampling technique for quantifying indoor allergens; Merck Research Labs, where she worked with researchers in pre-clinical drug development; and Penn State University, where she worked as a statistical consultant in the Department of Food Science and as an instructor for courses in statistics and introductory biostatistics.
Cheryl's goal as a Minitab Trainer is to give attendees the statistical knowledge and tools they need to solve the real-world problems they face on the job. "My philosophy is that information has to be practical to be useful," Cheryl says. "I love the 'aha!' moments that occur in class when our customers see how they can apply the skills they're learning to their own projects and help their companies improve quality."
In addition to Six Sigma Black Belt training, Cheryl has a B.S.E. in Mathematics from Truman State University, an M.S. in Statistics from the Pennsylvania State University, and additional graduate-level coursework in Data Mining and Machine Learning from Stanford University. She has been a presenter at several seminars and conferences, including the American Society for Quality’s World Conference, Fall Technical Conference, and Service Quality Conference. In September 2013, Cheryl’s work was highlighted in the American Statistical Association’s publication, Amstat News, in an article entitled “A Statistician’s Journey.”
Dave joined Minitab in 2019 as a Technical Training Specialist and is located in West Michigan. In this role, Dave’s goal is to ensure sound understanding of statistical fundamentals, data-based decision-making and the proper application of both to solve real-world problems using Minitab Statistical Software.
Prior to joining Minitab, Dave worked for Yanfeng Automotive Interiors as a Senior Six Sigma Master Black Belt. In this role Dave trained, coached and led Product, Process and Quality Engineers as well as Leadership in both DMAIC and DFSS (Robust Engineering) methodologies, data analysis and problem-solving. Applications ranged the entire product life cycle: product ideation, product design, program launch, production and warranty.
Dave also worked as a Continuous Improvement Manager, Six Sigma Black Belt and Master Black Belt and Quality Engineer at Johnson Controls from 2000 to 2015. In these roles Dave led and/or was part of a multitude of process improvement efforts in a wide variety of manufacturing industries: automotive interiors (assembly, thermoforming and injection molding), heavy fabrication of large tonnage chillers and compressors (machining, welding, assembly, testing) and automotive lithium-ion batteries (mixing, coating, calendaring, winding, assembly, formation and pack assembly).
Dave earned a bachelor’s degree in Metallurgical Engineering from Michigan Technological University in 1994. He earned a Master of Science in Applied Statistics from Western Michigan University in 2008. Dave also was an ASQ Certified Quality Engineer, has Master Black Belt certifications in DMAIC and DFSS, practitioner certification in Kepner Tregoe® Problem Analysis and is a certified Shainin RedX® Apprentice.
Dennis is a Technical Training Specialist at Minitab, LLC., the world’s leading provider of software and services for quality improvement and statistics education. Dennis is responsible for helping businesses develop competent statistical analysis to incorporate meaningful changes to meet company goals. In this role, his responsibilities include concise and informative trainings that incorporate businesses’ specific needs.
Prior to joining Minitab, Dennis worked at Northern Illinois University as an instructor in the Statistics Department. His main duties were teaching varying ranges of statistical courses. He has five years’ experience teaching statistical software throughout multiple disciplines on campus.
Dennis earned his BS in Sociology, which was the introduction to applicable statistical tools and software that pushed him to acquire his MS in Applied Statistics and Probability.
He is based in the Chicago office of Minitab, LLC He also volunteers at local organizations; museums, health clinics, and Chicago’s Architecture Foundation. He is also a budding Chicago bicyclist.
After earning his B.S. in Biostatistics from Penn State University, Eric joined Minitab in 2012 as a member of the Technical Support department helping customers use the software and understand their statistical output. He was also a regular contributor to the Minitab blog, using real world scenarios to demonstrate statistical concepts related to quality improvement and software use. Beginning in 2016, Eric began working as a trainer of Minitab Statistical Software.
Eric brings experience from a number of different fields, as he has done statistical work in areas including biostatistics, sports analytics, and political science. He has always enjoyed teaching and working with students individually in a variety of disciplines, including Statistics, Mathematics, and Economics. While attending school, Eric worked to develop and expand a Math tutoring center at a Penn State branch campus to provide specialized help for statistics and math students. In addition, he worked as a Teaching Assistant for several Economics courses including Microeconomics, and Econometrics classes.
With the explosion of data in the world today, he enjoys working with different users and seeing the different ways people in various industries are utilizing their data. While anyone can use software available today to click and get results, as a trainer, Eric hopes to bring a deeper understanding of statistical tools, so that accurate decisions can be made. Eric has also completed coursework towards an M.S. in Statistics, also at Penn State University.
Erin O’Shaughnessy joined Minitab in 2013 as Technical Support Specialist after completing a bachelor’s degree in Applied Statistics from The Pennsylvania State University. As a Technical Support Specialist, she works one-on-one with customers from every industry to help them utilize Minitab’s vast statistical toolkit to come to informed decisions to resolve their day-to-day problems.
Prior to working at Minitab, she worked at The Pennsylvania State University to help students learn the concepts of elementary statistics and the use of Minitab. During this time, Erin became attuned to understand that people come from a wide variety of disciplines, and not everyone will understand a topic using the same delivery or same level of technical communication. When the opportunity arose in 2016 to become a Minitab trainer, Erin was thrilled to continue to share her knowledge of Minitab and statistics in an additional role.
Erin specializes in Minitab macros and has written custom scripts that solve customers’ unique problems, such as automating tasks or creating a new feature. She knows that not everyone is a programmer, so she appreciates Minitab’s command language being just as easy to conquer as navigating its user-interface. She has been a presenter at conferences and webinars to help users get started or improve their macros.
As a Team Leader for customer success at Minitab, Gillian is responsible for the teams which provide training, technical support and consultancy services in the EMEIA region. Gillian ensures these teams have the skills, knowledge and resources to deliver market-leading support for Minitab customers.
Gillian also delivers training and consultancy to our customers, which she has done since joining Minitab in 2014. Gillian is passionate about coaching professionals of all backgrounds to make use of analytical tools to achieve business objectives.
According to Gillian, success is when trainees contact her to share the results of their analyses. “My aim is to enthuse professionals on the opportunities to make a difference with analytics, and to remove the common fears people feel about applying mathematics and statistics.”
Gillian enjoys working with a diverse range of industries and customer backgrounds, and relishes interesting analytical challenges. An experienced presenter at many international Minitab events, Gillian enjoys showcasing how our analytics solutions help to solve modern problems.
Prior to joining Minitab, Gillian specialized in the development and application of predictive models for credit risk assessment. Gillian’s journey as an analytics professional began when the UK government’s Treasury offered her a position as a statistician after her degree - on the condition she completed a Masters Degree in Probability and Statistics. Gillian had chosen and enjoyed statistics modules at university, so she jumped at the chance - and has not looked back since.
After graduating from the Pennsylvania State University in 2005 with B.S. degrees in both Mathematics and Statistics, José joined Minitab in 2007 and began sharing his expertise in quality statistics and Minitab Statistical Software as a sales representative.
As a Minitab trainer, José draws on his experience presenting statistical concepts to professionals in numerous public and on-site training courses, webinars, and workshops, and continues to build and maintain relationships with customers.
José ensures customer satisfaction with his ability to communicate technical and business concepts both in Spanish and English. “My goal is to help customers achieve success,” he says. “Applying statistical concepts to their businesses can lead to good decision making, but only if they understand the tools they are working with.”
Joe joined Minitab as a Technical Training Specialist in July 2020. He provides statistical consultancy and training to businesses through the effective use of statistical tools and techniques. Before joining Minitab, Joe worked for Tata Steel in R&D as a Data Scientist based at Warwick University, UK.
Joe is passionate about knowledge-transfer that equips professionals whose primary roles are outside the field of statistics and analytics. He is experienced at teaching non-experts how to quickly investigate datasets, identify actionable insights, and communicate results to senior management.
His 20 years of experience range from academia to industry, and include risk management, R&D and manufacturing. At Tata Steel, Joe focused on process optimization using machine learning and advanced statistical techniques. He also built models and algorithms used by internal business units to track materials and products.
Joe is an experienced presenter and used to reporting to management teams of a non-statistics/analytics background. Joe also worked for both Coventry University and Warwick University where he taught modules in Mathematics, Statistics and Python programming. He holds a PhD in Applied Mathematics from Coventry University.
Ming has been proudly supporting Minitab customers since Minitab Pty Ltd opened in 2007, first as a Technical Support Specialist and now as Minitab’s first Technical Training Specialist in Australia.
As a member of Minitab’s technical support team, he gained firsthand experience resolving the challenges Minitab users face when trying to choose the right method and analyze their data.
He also brings a great deal of industry experience to his training courses. He has worked as a Statistical Research Officer for Macquarie University and a Software Engineer and Project Coordinator for Toshiba, OzEmail and National Computing Systems Singapore.
One of the things Ming enjoys most about being a Minitab trainer is helping a wide range of clients effectively use statistics to improve their processes.
“My goal is to make my courses practical and relevant for professionals from all types of businesses,” he said. “I want training participants to leave with a 'statistical toolkit' they can take back to their jobs and use immediately and regularly.”
Ming has had several papers published in the field of Bioinformatics statistics research. He has a Masters of Computer Science from the University of New South Wales, and a Masters of Applied Statistics from Macquarie University.
Robert is our most experienced trainer in Europe, bi-lingual in French and English, and delivers our training and consultancy in both languages. He has trained and consulted for companies across all major industries in Europe, the Middle East, and the South Pacific since joining Minitab in 1997.
Robert helps companies who want to improve the statistical culture within their organization to meet industry or quality standards, or specifically those implementing the Six Sigma quality initiative. His cross-sector experience gives him great insights into many different questions and problems, helping Robert to respond effectively to the needs of each customer.
“I enjoy drawing on real-life experiences of using statistics in a company environment. I focus on making our Minitab training courses practical, accessible and memorable, with an approachable style that is conducive to efficient learning. It is interesting and stimulating for me to adapt to customers’ needs, delivering basic to advanced training programs in both French and English.”
Robert is based in France and is a qualified statistician with a degree from University College London, UK. His diverse sector experience ranges from pharmaceuticals to medical devices to banking, working with many different audiences from R&D to quality to business service professionals.
Casey joined Minitab in 2020 after an eleven-year career in secondary education. As a Technical Training Specialist, Casey is responsible for ensuring customer success from the introduction of Minitab’s software through its use in everyday decision-making.
His background as an educator helped to prepare him for his role with Minitab. As an Advanced Placement Statistics teacher, he was committed to improving his students’ comprehension of the field. He has the same level of commitment to Minitab customers, which, in turn, enables him to extend learning opportunities for them. Casey graduated from Mississippi State University with a B.S. in Mathematics and a M.S. in Statistics. He currently resides in Birmingham, Alabama.
Scott joined Minitab to help professionals to appreciate and harness the power of statistics in using data to solve business problems, regardless of industry. He gets a real sense of accomplishment from helping people from different disciplines and technical backgrounds come together to find solutions to important business problems. “Training offers the opportunity to share my knowledge and experience in using Minitab to provide solutions for the challenges that businesses face.”
His interest in helping people understand and apply statistical power was sparked during the two years he spent as a consultant in the University of Florida's Institute of Food and Agricultural Sciences. These projects involved the use of designed experiments as well as reliability, control charts and regression analysis. By helping the institute's clients collect and analyze data, Scott saw first-hand the value that applied statisticians add to solving real-world problems.
Scott earned his B.S., M.S. and Ph.D. in Statistics from the University of Florida, where he taught several courses and concentrated on design of experiments and response surface methodology. His goal in earning his doctorate was to develop theory for problems already being encountered by practitioners, and his dissertation focused on designing industrial experiments with hard-to-change factors.