Jean-Baptiste Attié

Le Carnet de Prépa — Launching an E-commerce Product End-to-End

Wed, 01 Jan 2025 00:00:00 +0000

Designed, produced and sold a physical study notebook for French prépa students. Full-stack e-commerce site built with Claude Code, automated Stripe-to-print-on-demand pipeline, Meta Ads. 340+ sales and €9,000 revenue in one year.

Credit Default Prediction — Crédit Agricole Personal Finance & Mobility

Thu, 01 Oct 2026 00:00:00 +0000

Machine learning model (logistic regression, gradient boosting) estimating customers’ probability of default on a 30-million-row dataset, plus a SAS-to-Snowflake database migration for pipeline automation.

Entropy Methods for the Fractional Porous Medium Equation — Johns Hopkins University

Wed, 14 Aug 2024 00:00:00 +0000

Six-month research stay at the Johns Hopkins Department of Mathematics. Proved an exponential convergence rate toward the stationary profile using entropy methods, and wrote the research report in LaTeX.

Neural Networks for High-Gradient Functions — Research Apprenticeship at I2M

Thu, 01 Jun 2023 00:00:00 +0000

Research work-study at the Institut de Mathématiques de Marseille: neural network theory, TensorFlow experiments, and a gradient-aware sampling method that improves approximation where the target function varies sharply.

Automating MT-191 Billing Processing — Natixis

Wed, 15 Jan 2025 00:00:00 +0000

Custom VBA tool that extracts, transforms and visualizes MT-191 billing data for the Cash Management team. Built from business users’ requirements; processing time cut from 2 hours to 3 minutes.

About me

Mon, 01 Jan 0001 00:00:00 +0000

I’m Jean-Baptiste Attié, a French engineer from Paris. I graduated in 2026 from École Centrale Méditerranée (Grande École), where I followed the Data Science and Decision-Making track. Before that, I spent three years in classes préparatoires (Mathematics & Physics) at Institution Sainte-Marie in Antony, which gave me a solid mathematical foundation and a taste for hard problems.

During my first year at Centrale, I worked as a research apprentice at the Institut de Mathématiques de Marseille (I2M), studying how neural networks approximate functions with steep gradients. In 2024, I spent six months as a Visiting Graduate Research Student at Johns Hopkins University in Baltimore, working on the convergence of solutions of the Fractional Porous Medium Equation with entropy methods: my first real immersion in fundamental research, in English, within an international team.