Hopper
Patrick Surry is the Chief Data Scientist at Hopper, focusing on flight price prediction. Patrick previously held various roles in companies such as Pitney Bowes Software, Portrait Software, and Quadstone, specializing in customer analytics and data-driven solutions. With a background in mathematics and statistics, Patrick has also worked in academia and research, teaching graduate courses on optimization methods. Patrick has a wealth of experience in developing analytical products and leading teams to deliver innovative solutions.
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Hopper
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Hopper uses big data to predict flight and hotel prices, and will notify you when it's the best time to book. Hopper’s goal is to reduce traveler anxiety throughout all stages of the trip buying and taking process. By creating a transparent travel marketplace and unique, data-driven financial technology products focused on providing peace-of-mind, Hopper adds value along each step of the customer’s journey.