MIT Analytics Capstone Showcase 2023

The Master of Business Analytics (MBAn) program is pleased to present the 7th annual MIT Analytics Capstone Showcase event. The MBAn Class of 2023 students will present and discuss the work they have done with their respective Capstone companies during the academic year and summer work experience. This year, there are 41 projects total.

This event will be held in-person for a limited in-person capacity audience, as well as livestreamed and recorded for those who cannot attend in person. Please select your preference when you RSVP.

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MIT CAPSTONE SHOWCASE AGENDA

1:00-3:00pm Poster Session, Live Voting
3:00-3:15pm Break
3:15-4:45pm Capstone Presentations (Zoom Link Here)
5:00-6:00pm Reception (in-person only)

Current MBAn students do not need to register for this event as their attendance is mandatory.

2023 Analytics Capstone  Project List (41 Projects Total)
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1. Accenture
InnovateGPT: LLMs to Measure Innovation - An Application to the Life Sciences
Amjed Belkhiri & Reid Taylor | Faculty Advisor: Jose Pacheco

2. Airbnb
Love is Inn the Air: Customer-Agent Matching for Airbnb Customer Service
Ryan Lucas & Paul Roeseler | Faculty Advisor: David Gamarnik

3. Angelini Industries
Empowering Parents: Personalized Recommendations for Italy's Top Pregnancy App
Gavin Findlay & Jan Reig Torra | Faculty Advisor: Thodoris Lykouris

4. Banyan Risk
Insurance, My Dear Data: Predicting Who Will Get Sued
Moritz Bartusch & Megi Jaupi| Faculty Advisor: Rahul Mazumder

5. Bear Robotics
Hospitality 2.0: A Simulation Study on the ROI of Deploying Robots in Restaurants
Alexandre Berkovic & Vassili Chesterkine | Faculty Advisor: Daniel Freund

6. BMW
Optimize, Allocate, Drive: Revving up Volume Allocation for BMW
Dalal Alramadhan & Nikita Singh | Faculty Advisor: Andy Sun

7. BMW
Strength in Numbers: Assessing customer EV readiness using Federated Learning
Mattia Ravasio & Paul Theron | Faculty Advisor: Retsef Levi

8. CMA-CGM
Riding the Waves: Navigating Shipping Contract Price Anomalies and Elasticity
Xinyao Han & Duanchen Liu | Faculty Advisor: Stephen Graves

9. Coca-Cola Southwest Beverages
Enhancing Sales & Efficiency with Customer Suggested Ordering
Maïwenn Danno & Hamza Zerhouni | Faculty Advisor: Stephen Graves

10. CogniSure
Potential of Large Language Models For Insurance Document Data Extraction
Austin Ader & Ahsan Imran | Faculty Advisor: Retsef Levi

11. Columbia Threadneedle Investments
AI driven real estate investment strategy for European cities
Michelle Ma & Andy Zhao | Faculty Advisor: Rama Ramakrishnan

12. Comcast
Optimize the Next Best Action Engine with Reinforcement Learning
Katherine Wang & Sylvia Zhang | Faculty Advisor: Retsef Levi

13. Comcast
Rewards That Resonate: Crafting Lasting Customer Connections
Shiyin Tan & Bingyu Zhou | Faculty Advisor: Rob Freund

14. CVS Health
Enhancing Public Health: Leveraging Multi-Armed Bandit for Vaccination Outreach
Bibhabasu Das & Jaya Ren | Faculty Advisor: Thodoris Lykouris

15.  Doosan Digital/HyAxiom
Plan Safely Ahead: Robust Optimization for Inventory Management Under Demand Uncertainty
Michael Jiang & Bolin Song | Faculty Advisor: Andy Sun

16. FEMSA
What's next? A Cross-Business Smart Recommendation Engine
Dafne Badilla & Roland Rocafort | Faculty Advisor: Jose Pacheco

17. GroupM
From Third Wheel to Center Stage: First Party Data Marketing
Joseph Lu & Yen Hann Yoo | Faculty Advisor: Negin Golrezaei

18. HANDLE Global
Put Me In, Coach! A Data Driven Approach to Building Healthcare Asset Rosters
Marco Antonioli & Tom Wright | Faculty Advisor: Jim Butler

19. JPMorgan
Zoom and Boom: How Satellites Expose Urban Expansion Secrets
Victor Radermecker & Andrea Zanon | Faculty Advisor: Rama Ramakrishnan

20. Liberty Mutual
Preventing Falls: A Multimodal Causal Inference and NLP Approach
Mohammed Ali Benchekroun & Julien Pinede | Faculty Advisor: Jim Butler

21. Lineage Logistics
Is This Customer Profitable? Dissecting Direct Labor Cost per Customer
Grace An & Jessie Tanaboriboon | Faculty Advisor: Alex Jacquillat | Mentor: Ilya Jackson

22. Macy's Inc.
"I'm Just Browsing" – Predicting the Value of Prospective Customers
Estella Dentinger & Brittany Nguyen | Faculty Advisor: Georgia Perakis | Mentor: Leann Thayaparan

23. McKinsey & Co
Personalized Engagement: The Art of Reconnecting with Email Subscribers
Julia Gimbernat Mayol & Rodrigo Olivares-Lopez | Faculty Advisor: Arnie Barnett

24. MFS Investments
Don't Let Your Clients Leave You: An Analytical Approach
Patrik Durdevic & Nikos Galanos | Faculty Advisor: Rahul Mazumder

25. MIT Device Realization Lab
Perfecting Optical Fibers: Deep Reinforcement Learning for Predictive Control
Abhranil Chakrabarti & Arushi Jain | Faculty Advisors: Brian Anthony, Jim Butler

26. MIT Device Realization Lab
Next Gen Smart Home: From Radar to Physiological Signal
Rachel Duan & Nicky Zhang | Faculty Advisors: Brian Anthony, Jim Butler | Mentor: Mingye Gao

27. MIT Device Realization Lab
Safe and Sound: AI In-Home Motion Monitoring for Elderly Care
Shurui Cao & Shuyu Guo | Faculty Advisors: Brian Anthony, Jim Butler | Mentor: Mingye Gao

28. MIT Lincoln Laboratory
Accelerated Aircraft Prototyping Leveraging CNN's
Cameron Cubra | Faculty Advisor: Jordan Levine

29. MIT Lincoln Laboratory
Advanced Aerial Refueling: Optimization for the Mile High Fuel Club
Evan Marrone | Faculty Advisor: Jordan Levine

30.  MIT Lincoln Laboratory
Protecting National Airspaces: Improved Object Detection and Classification
Osho Yonzon | Faculty Advisor: Jordan Levine

31. MIT Machine Intelligence for Manufacturing and Operations
Testing Without Testing: Predicting Engine Failure Using Virtual Quality Gates
Daniel Chung & Muhammad Ahmad Hussain | Faculty Advisors: Brian Anthony, Jim Butler | Mentor: Russel Bradley

32. Nike
Sneak Attack! Internal Market Research for Demand Prediction
Paula Pieper | Faculty Advisor: Vivek Farias

33. Pfizer
Work Smarter Not Harder: Optimal Scheduling for Quality Control Labs
Michał Laskowski & Shannan Liu | Faculty Advisor: Nikos Trichakis

34. Pfizer
Adoption Unleashed: A Deep Dive into User Behavior and Network Patterns
Shreya Gupta & Sri Reddy | Faculty Advisor: Daniel Freund

35. Takeda
Pioneering Patient Safety: Leveraging AI to Predict Adverse Drug Outcomes
Oscar Courbit & Hermine Tranié | Faculty Advisor: Alex Jacquillat

36. Texas Education Agency (TEA)
Unlocking Brighter Futures: Accurately Evaluating Texas' Educational Programs
Zachary Wayne & Clàudia Arrese Mata | Faculty Advisor: Karen Zheng

37. Unilever
Leveraging Optimization and Business Intelligence for Production Planning
Yicong Han & Anant Vashistha | Faculty Advisor: Nikos Trichakis

38. Visa
Data for Good: How to Help Small-Medium Businesses Thrive
Max Petruzzi & Guillaume Bonheure | Faculty Advisor: Alex Jacquillat

39. Wayfair
Beyond the Match: Enhancing Product Matching with Model Calibration
Claire Guan & Sophie Long | Faculty Advisor: Georgia Perakis | Mentor: Leann Thayaparan

40. Wellmark Blue Cross Blue Shield
PriceRx: Trimming the Pricing Gap with Optimization in Health Insurance
Zachary Bell & Ayush Shukla | Faculty Advisor: Jim Butler

41. Wolters Kluwer
Document Classification Capability: Revving up manual paperwork using CV & NLP
Rachit Jain & Chloe Wu | Faculty Advisor: Ilya Jackson

Visit Our Capstone Showcase Website Here ----> AnalyticsCapstone.mit.edu/2023-showcase

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