Master of Business Analytics
2019 Project List
1. AB-InBev (Poster)
A Data-Driven Approach to Forecasting the U.S. Beer Industry
Alessandro Scaglia & Francois Caprasse | Faculty Advisor: Rahul Mazumder | PhD Mentor: Wenyu Chen
2. AB-InBev (Poster)
Suggested Order Quantities
Antoine Roncoroni & Alexandre Saillard | Faculty Advisor: Negin Golrezaei | PhD Mentor: Andreea Georgescu
3. Arca Coca-Cola (Poster)
Portfolio Recommendation System for A Leading Coca-Cola Bottler
Elisa Piscitelli & Srishti Gupta | Faculty Advisor: Vivek Farias & Nikos Trichakis | PhD Mentor: Jonathan Amar & Patricio Foncea
4. BCG Gamma (Poster)
Customer Retention & Targeted Recommendations
Leonor Saitkoulov & Elizabeth Lim | Faculty Advisor: Nikos Trichakis | PhD Mentor: Patricio Foncea
5. General Motors (Poster)
Zero Crashes Initiative
Rémi Lalanne & Jérémy Tran Kiem | Faculty Advisor: Bart van Parys
6. General Motors (Poster)
Tackling Congestion Using Connected Car Data
Leann Thayaparan & Julia van Hoogstraten | Faculty Advisor: Bart van Parys | PhD Mentor: Julia Yan
7. GroupM (Poster)
Project Peggy Olson: Data Driven Creativity
Jixin Wang & Melody Fong | Faculty Advisor: Dean Eckles | PhD Mentor: Leon Yao
8. IBM (Poster)
Explainability and Bias Removal in Natural Language
Nader Hoballah & Annelise Steele | Faculty Advisor: Carine Simon
9. Lincoln Laboratory (Poster)
USTRANSCOM Flight Data Analysis
Sheamus Larkin & Michael Rieker | Faculty Advisor: Dimitris Bertsimas
10. Lincoln Laboratory (Poster)
Optimizing Lab Procurement with Sparse Vendor Selection
Kevin Talty & John Stockdale | Faculty Advisor: Dimitris Bertsimas
11. MBTA Boston (Poster)
Reducing Costs at The Ride
Amal Rar & Mason Grimshaw | Faculty Advisor: Dimitris Bertsimas | PhD Mentor: Julia Yan
12. MFS Investments (Poster)
From Unstructured Text Data to Interpretable Financial Prescriptions: An Optimization Approach
Pace Han & Tiantian Ye | Faculty Advisor: Dimitris Bertsimas | PhD Mentor: Ryan Cory-Wright
13. Quest Diagnostics (Poster)
Predicting Disease from Longitudinal Laboratory Data
Antonin Dauvin & Michael Stern | Faculty Advisor: Dimitris Bertsimas | PhD Mentor: Michael Li
14. Rapid7 (Poster)
Finding the Needle in the Haystack: Anomaly Detection in the Cybersecurity Industry
Jocelyn Beauchesne & Johnny Oh | Faculty Advisor: Rahul Mazumder | PhD Mentor: Hussein Hazimeh
15. RueGiltGroupe (Poster)
Navigation-Based Personalized Recommender System
Millie Huang & Vicky Liu | Faculty Advisor: Tauhid Zaman
16. StubHub (Poster)
Events and Tickets Representation Learning and Personalized Recommendation
Andrew Huang & Iker Wang | Faculty Advisor: Georgia Perakis | PhD Mentor: Max Biggs & Rim Harris
17. StubHub (Poster)
Guaranteed Sales
Anita Zhang & Gabriel Chua | Faculty Advisor: Georgia Perakis | PhD Mentor: Max Biggs & Rim Harris
18. Swiss Re (Poster)
Protection Gap Explorer: A Data-Driven Exploration of US Life Underinsurance
Anthony Battista & Noah Hagen | Faculty Advisor: Carine Simon | PhD Mentor: Hari Bandi
19. TripAdvisor (Poster)
Optimizing User Experience in Hotels Searches by Accurate Price Forecasts
Wendy Chiang & Nhi Nguyen | Faculty Advisor: Robert Freund | PhD Mentor: Renbo Zhao
20. Unilever (Poster)
Demand Forecasting with a Segmented Approach
Jun Jie Ong & Shijian Chen | Faculty Advisor: Stephen Graves
21. Walmart (Poster)
Improving Inventory Placement for Walmart E-Commerce
An Luong & Jonah Adler | Faculty Advisor: Stephen Graves
22. Wayfair (Poster)
The Value of a Day: Optimizing Delivery Time
Rachel Holmer & Lisa Walz | Faculty Advisor: Georgia Perakis | PhD Mentor: Divya Singhvi