Jim Libby

Jim Libby is a pioneering data scientist with an impressive portfolio of algorithms, protocols, and decision support platforms that he has deployed in over 60 major strategy engagements for 20+ F500 companies in 40 countries. He is also the founder of the Data Science Diversity Alliance (DSDA), a consortium of 650 Fortune 1000 companies and 290 colleges and universities that aims to improve access for underrepresented populations in data science. With a Doctor of Philosophy (Ph.D.) in NT Studies and a Master's Degree in Statistical Linguistics from McMaster University / Divinity College and Denver Seminary, respectively, and a B.S. in Biophysics from the University of Illinois at Urbana-Champaign, Jim is a highly qualified professional.

Throughout his career, Jim has worked as a Lead Designer, Founder, CEO, Managing Director, Senior Technical Consultant, Senior Systems Architect, Senior Software Developer, and Specialist in various organizations. His consulting and marketing/data science highlights include designing and initially coding various DSS platforms such as InnovationSolveTM, PositionSolveTM, ProductSolveTM, SatisfactionSolveTM, SegmentationSolveTM, and BigDataSolveTM. Jim's signature focus on discovering the limitations of current best practice protocols and then applying mathematics to solve them has led him to keynote or present at 23 major industry events, including BAI's retail delivery conference, Bank of America's COP conference, IBC's data mining conference, Morgan Stanley CTO Summit, Microsoft's Global Best Practices in Marketing conference, and AMA's ART Forum.

Jim Libby's expertise and skills include data science, diversity advocacy, algorithms, protocols, decision support platforms, strategic engagements, customer satisfaction, value-based segmentation, product design and positioning, innovation, predictive analytics, and more. His interests lie in exploring mathematical solutions to current best practice protocols, mentoring and supporting underrepresented communities, and discovering new ways to leverage data science principles in various industries.