Many companies want to influence the future by adjusting factors that they control. Suresh Vadakath covers practical ways to extend machine learning models via simulations and points out common pitfalls to avoid. Suresh then discusses a few applications in marketing, pricing, and operations to illustrate how this approach works in the real world.
Suresh Vadakath is an NYC-based data scientist at DataRobot, where he helps customers and prospects understand and leverage automated machine learning. Suresh has eight years of experience in analytics and data science. Previously, he was a senior solutions engineer at Alteryx, where he guided high-touch enterprise customers in their data prep and predictive analytics initiatives. He holds an MBA in finance from the University of Rochester in Upstate NY.
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