Watch Jamal Madni (CEO and Co-Founder of Ingage. Solutions, USA) as he talks about how he co-founded his AI-backed company after completing the Applied Data Science Program. Get to know how the program faculty inspired him to follow his entrepreneurial spirit and much more.
Agenda for the session
- How the program helps in becoming a data-driven decision maker
- Understand how data science concepts translate into the real world
- Collaborative learning with like-minded peers from diverse backgrounds
- Q&A round with Jamal Madni & Milind Kopikare
About Speakers
Mr. Jamal Madni
CEO and Co-Founder of Ingage.Solutions, USA
Jamal believes that the pillars of his professional ideology are Technology, Strategy, and Service. He has about 11 years of experience in companies like Boeing as a tech strategist. He is a Stanford GSB Fellow and is currently the CEO and Co-Founder of Engage. Solutions, a company that believes in intersecting Artificial Intelligence with human connection in the boardroom, the exam room, and the classroom. It was through the APPLIED DATA SCIENCE PROGRAM with MIT that he honed his entrepreneurial skills and insights.
Mr. Milind Kopikare
President of Great Learning at North America
Milind Kopikare is the President of Great Learning at North America. prior to that, he was the VP and Head of Product for the Experience Management product at Qualtrics. Here he took a product from zero to a $300 Mn ARR and created a whole new product category. Milind has also consulted Fortune 500 executives during his time at McKinsey and was par of the Android team at Google. He has an MBA from Kellogg, a MS from Stanford and a B.Tech from IIT Bombay.
MIT Professional Education's Applied Data Science Program
The Applied Data Science Program curriculum has been carefully crafted by MIT faculty to provide you with the skills, knowledge, and confidence you need to flourish in the industry. By encompassing the most business-relevant technologies, such as Machine Learning, Deep Learning, Recommendation Systems, and more, it prepares you to be an important part of data science efforts at any organization.
