Sunanda KP, is an Assoc. Dir. of Algorithms/Data Science at Wayfair Inc where she leads a team of data scientists and engineers to build ML solutions that lead to a better shopping experience for all Wayfair customers. Prior to this, she was leading innovation R&D projects at the adTech startup DataXu. Through her career in data science she has enjoyed focusing her quantitative expertise in mathematical modeling to business questions that has led to multiple high-revenue analytics products. Her current passion is to develop an intelligent system that recommends the optimal product exposure to balance customer experience and profitability.

Before entering the data science world, she was a Princeton Center for Complex Materials research fellow, working on the forefront of the next generation quantum materials that will replace silicon in a computer chip. Prior to that she received her PhD in physics from Purdue University working on solving open problems in the field of transport physics. Her work led to several high profile publications and international conference presentations.

Her research accomplishments has been recognized in the form of many awards including the H.Y.Fan Award for excellence in physics research.

She is an active member in the local start-up tech and data science community and is the co-organizer of one of the oldest meetup groups in Boston- The Data Scientist. She enjoys bringing together leading minds in the field of data science and AI, to engage in thought leadership in this nascent field.

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