MSc Big Data and Business Analytics Hackathon 2024
Students challenged by leading companies
Five leading companies (Catalina, Écologie Logistique, Ekimetrics, Numberly, and Square Management—Square Research Center), in partnership with ESCP Business School, challenged the students of the MSc Big Data and Business Analytics to an intensive one-week hackathon!
From 11 to 15 March, the students took on four challenges, with topics such as responsible AI, AI for marketing, AI for road traffic management and AI for finance risk measurement.
After four days of taking on the challenges, students pitched their ideas in front of a jury consisting of company representatives and ESCP professors.
Students collaborated to solve diverse data and media problems. This allowed them to showcase the technical and business skills developed throughout their time in the MSc in Big Data and Business Analytics.
The five companies guided students in this challenge in a real startup fashion, frequently meeting to stimulate new ideas for their challenges and reviewing the work in progress to improve the drafts.
These challenges required some coding skills (Python/R) to apply machine learning techniques, as well as develop creative ideas leveraging new technologies such as the usage of large language models and network optimisation.
Five challenges were proposed
Catalina:
New purchasing paths/touchpoints in supermarkets for more efficient promotion
Propose a data-driven approach for the purchasing behaviour.
Propose innovative touchpoints and demonstrate the related cost/benefit.
Écologie Logistique:
Road traffic in-depth analysis at the city of Saint-Cyr l’École
Build a prediction model for the main hotspots of the city.
Anticipatory analysis of the impact of the new ZAC Pion.
Ekimetrics:
Responsible AI in recruitment processes
Identify and mitigate biases.
Introduce fairness in machine learning and demonstrate the related cost/benefit.
Numberly:
Revamping customer engagement
Crafting a Data-Driven approach for existing clientele.
Define and measure/predict customer value by identifying and calculating the discriminating variables / KPIs.
Square Management (Square Research Center):
Application of the atRisk methodology to improve forecasting models
Enable more complete information and encourage a more forward-looking approach to risk management.
A simple and robust way of considering the uncertainty surrounding forecasts.
Winning Teams
Square Management (Square Research Center)
- Winners: Hang Hou Cheong, Andrey Dolgopolov, Panagiotis Klempetsanis, Jonatan Spohn, Francesca Vinattieri
Ekimetrics
- Winners: Jadesola Akinola, Salome Bloch, Maria Denisa Ciucur, Michael Hegarty, Sara Mourtada
Catalina
- Winners: Hashir Ahmad, Nadim Almasri, Julian Enciso, Palak Gupta, Rishabh Rajput, Benjamin Ruppert
Numberly
- Winners: Yen Ying Chen, Ziqi Li, Jieyuan Liu, Julie Requillart, Prerna Sharma
Écologie Logistique
- Winners: Celeste Combeau, Paulina Lara, Valentin Paris, Andres Felipe, Quintanilla Mayorga, Benjamin Sidler
Companies’ Testimonials
Campuses