Segmentation of French local authorities within Agence France Locale “Confidential”

  • Alexandre Brahmi (Student)

Student thesis: Master's Thesis


This report describes my work placement at Agence France Locale (AFL). This internship, lasting around 6 months - between April and September 2023 - finalizes the curriculum of the Mastère 2 Economy – cursus Econometry, Big Data and Statistics- and the Master of Economy at Magistère d'Aix-Marseille School of Economics and Catolica Lisbon as part of the double degree in Economics and aims to apply the concepts studied in class in a professional context. In this way, I discovered the banking environment, and the concepts specific to the local public finance sector within this company. Working in the "Prudentiel et Risques Financiers" department of the "Direction des Engagements et des Risques", I was recruited as a Data Scientist and supervised by Pierre Olivier CONTASSOT to work on the segmentation of French municipalities. My mission was to develop a clustering methodology aimed at profiling local authorities according to their financial characteristics. The purpose of this study is to support the Commitments division in assessing credit risk for new membership applications, and to provide a better understanding of AFL's customers and shareholders, and more generally of the French municipal landscape.
Date of Award17 Oct 2023
Original languageEnglish
Awarding Institution
  • Universidade Católica Portuguesa
SupervisorChristian Schluter (Supervisor)


  • Machine learning
  • Clustering
  • Segmentation
  • Algorithm
  • Clusters
  • Metrics
  • French authorities
  • Municipalities
  • Regions


  • Mestrado em Economia

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