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Big Data and Online Platforms Analytics – Work with a Large Retailer in Latin America


Term:

Fall

Department:

15: Management

Faculty Supervisor:

Georgia Perakis

Faculty email:

georgiap@mit.edu

Apply by:

Contact:

Professor Georgia Perakis (georgiap@mit.edu), Diego Aparicio PhD student (dapa@mit.edu), Tamar Cohen PhD student (tcohen@mit.edu).

Project Description

How competition and pricing strategies affect consumer behavior in online platforms? This project will combine two pieces: (1) Analyzing big datasets to model consumer behavior in competitive markets. (2) Running field experiments. We will use tools from machine learning, analytics, A/B testing, experimentation. This is a great opportunity to work in a fun and challenging research environment. Responsibilities: (1) You will be a full member of the research team, and the team will meet weekly. (2) In the meetings we work on modelling, algorithms, discussing results, and setting up next steps. (3) The main responsibilities will be coding algorithms (with our guidance) and analyzing data. Please send applications to Professor Georgia Perakis (georgiap@mit.edu), Diego Aparicio PhD student (dapa@mit.edu), Tamar Cohen PhD student (tcohen@mit.edu). Please email resume + a 2-sentence statement of why you are interested and a good fit for this project.

Pre-requisites

(1) Experience with Python and/or R is required (2) Some experience with optimization is required (3) Availability to start September