Speaker "Ezgi Eren" Details Back



Big Data, Big Analytics for Pricing and Revenue Optimization: A Use Case in Car Rental Industry


As data requirements and management capabilities grow, so does the size of the analytics and optimization models used to harness big data. Pricing and revenue optimization is one area that requires continuous handling of large-scale multi-dimensional data and models with unprecedented size. In this talk, we discuss modeling approach to handle optimization with big data, highlighting a use case from car rental pricing and distribution.


Ezgi C. Eren is a scientist on the PROS science and research team. Her research interests include the general areas of big data optimization and analytics, pricing and revenue management. During her tenure in PROS, she primarily focused on car rental revenue management and pricing optimization. She is a co-inventor of the new generation optimization solution and models developed for the industry, and has two pending patents on the developed methodologies. Eren holds a Ph.D. degree in industrial engineering from Texas A&M University, and a B.S. in industrial engineering from Bogazici (Bosphorus) University in Turkey.