Lita Das is a doctoral candidate in Engineering Systems at MIT’s Institute for Data, Systems, and Society. Her current primary research focuses on the area of inventory management and retail operations and logistics. Specifically, her doctoral dissertation deals with the optimal space allocation within urban retail stores under severe space constraints through the application of statistics, optimization and simulation methods. A part of her research project was sponsored by Starbucks Corporation. During her academic career at MIT, she has served as a graduate research assistant and a teaching assistant at MIT Center for Transportation and Logistics.
Lita holds a Bachelor of Engineering (Honors) in Mechanical Engineering from Birla Institute of Technology and Science, India, and two Master’s degrees: a Master of Science in Engineering Systems from MIT and a Master of Engineering in Mechanical Engineering with a minor in Manufacturing, from Cornell University. For her Master’s thesis at MIT, she conducted research related to analyzing ocean transit time unreliability and its effects on shipper’s inventory management decisions. Over the years, Lita has acquired relevant work experience at Unilever in different areas such as R&D and Procurement Operations, The World Bank and Tata Motors. She also has experience in teaching graduate level courses related to inventory management and data management & analytics.