ArtometriXCyril Noirot
ArticlesData Science
Data Science3 min de lecture

Implementing automated credit decisioning: A Data Science Approach

Designing an automated credit decisioning system with gradient boosted trees — from manual review to real-time scoring in production

Cyril Noirot
Cyril Noirot
3 mai 2017
Cyril Noirot

Écrit par

Cyril Noirot

Data scientist spécialisé dans les systèmes de décision pour la prévision, le pricing, le marketing measurement et le risque.

À propos →Conseil →

Recevoir les prochains articles

Pas de spam. Articles techniques sur la prévision, le pricing et les systèmes de décision.

Enter your email
Subscribe

À lire aussi

Data Science

From lifecycle limits to markdown rules: The product constraints behind retail profit optimization

Why retailers can't escape markdown pricing—a deep dive into the lifecycle, inventory, and pricing constraints that shape modern retail optimization strategies

May 156 min
Data Science

Concavity and Network Flow in Profit Optimization: How Diminishing Returns Enable Efficient Solutions

Understanding why retail revenue functions are concave, how this property enables convex optimization, and the network flow interpretation that powers modern markdown pricing algorithms

May 157 min
Data Science

Markdown Pricing Optimization: Stochastic Programming for Retail

How retailers transform predictive demand models into prescriptive pricing decisions through stochastic programming, jointly optimizing markdown prices and inventory allocation under uncertainty

May 15 min
ArtometriX

Articles et outils sur la prévision, le pricing et la science de la décision.

contact@artometrix.com

Thématiques

  • Prévision & Planification
  • Mesure Marketing
  • Pricing & Optimisation
  • Finance & Stratégie

Ressources

  • Articles
  • Notes techniques
  • Outils interactifs
  • Réalisations

Contact

  • À propos
  • Prendre contact

© 2026 Artometrix. Tous droits réservés.