Deepak Dube, PhD.

Deepak Dube, PhD, has a significant work experience spanning over several companies. Deepak served as the Founder & CEO of EazyML from 2020, where they focused on the automation of enterprise processes and workflows using predictive analytics powered by statistical machine learning. Prior to that, Deepak held the position of Member of the Forbes Technology Council, starting in 2018.

From 2010 to 2013, Deepak worked as the Chief Technology Officer at IPsoft, where they led a team researching how intelligent statistical machines can learn and implemented their findings in IPsoft's flagship product, IPcenter. During their time at IPsoft, they also contributed to the development of Amelia, a highly-rated cognitive agent for digital solutions.

Deepak's career started at AT&T, where they worked from 1991 to 2010 as a Distinguished Member of Technical Staff. During their tenure at AT&T, they focused on team collaboration to define, design, test, and engineer VoIP services and was an expert in SIP technology.

Deepak Dube, PhD, has a strong education background in computer science and engineering. Deepak pursued their Bachelor of Applied Science degree at the Indian Institute of Technology, Delhi, which they completed in 1987. Deepak then went on to Illinois Institute of Technology, where they earned their Doctor of Philosophy in Computer Science in 1994. Four years later, in 1998, they achieved their Master of Science degree in Computer Science from the same institution.