Many companies want to influence the future by adjusting factors that they control. We’re going to cover practical ways to extend machine learning models via simulations and point out common pitfalls to avoid. We’ll then discuss a few applications in marketing, pricing, and operations to illustrate how this approach works in the real world.
Suresh is a Customer Facing Data Scientist at DataRobot based in NYC, where he works to help our customers and prospects , understand and leverage automated machine learning. Suresh has 8 years of
experience in analytics and data science. He received his MBA in Finance from University of Rochester in upstate NY. Before starting at DataRobot, Suresh held role as a Sr. Solutions Engineer at Alteryx where he guided high touch enterprise customers in their data prep and predictive analytics initiatives.
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