Fotis Konstantinidis leads the Digital and Data Analytics Practice. He has over 20 years of academic and professional experience in data mining and advanced analytics, digital strategy, and integration of digital technologies in enterprises.

His experience includes data transformation and visualization, application of a broad range of machine learning algorithms to maximize real business value and data-driven assessments of digital initiatives and priorities. Fotis has also led large digital transformation programs in both private and public companies, and launched agile-driven digital solutions that were presented in international conferences and workshops.

Fotis started applying data mining techniques as a brain researcher at the Laboratory of NeuroImaging at UCLA, focusing on identifying data patterns for patients with Alzheimer’s disease. He was also one of the leads in applying machine learning techniques in the field of genome evolution. Fotis has applied advanced statistical methods in several industries, including financial services, healthcare, mobile gaming, retail, automotive, and energy.

Prior to joining Stout, Fotis held leadership positions leading AI-driven products and services at CO-OP Financial Services, McKinsey & Company, Visa, and Accenture.