Mathematics, applied modelling, insurance, data analysis and teaching.
University of the French Antilles, Martinique
Bachelor’s Degree in General Mathematics — Honours: Bien
The starting point was formal reasoning: learning to move between a definition, a proof, a calculation and an interpretable result. This period created the mathematical base for later work in modelling, uncertainty and data.
Université Toulouse III – Paul Sabatier
Graduate coursework in Applied Mathematics for Engineering (MAPI3)
This period moved the work toward scientific computing, simulation, uncertainty analysis and machine learning. It made the connection between formal models and practical systems much more concrete.
Alongside graduate study, early internships brought quantitative work into real operating environments. The lesson was simple: data quality, workflow constraints and communication determine whether a technical output can be used.
Université de Montpellier — Faculty of Economics
Master’s Degree in Money, Banking, Finance and Insurance — Actuarial Science
15.45/20 — Honours: Bien
The actuarial master connected risk modelling, stochastic thinking, econometrics, insurance operations, financial systems and applied machine learning. It created the applied risk context for the later SADA dissertation.
Université de Montpellier / SADA Assurances
Master’s dissertation grade: 17/20
During an internship at SADA Assurances, the dissertation developed a predictive tool to help identify open non-life insurance claim files likely to require closure. The project translated an operational reserving question into a defined target, historical data preparation, model comparison and decision-relevant evaluation.
Swiss Business School, Barcelona Campus
MSc Business Analytics — Ongoing
Current study extends the trajectory toward programming, forecasting, statistical learning, data management and applied analytics in an English-language academic environment. It also supports a research proposal on AI-generated content disclosure and consumer response.
Teaching has developed alongside the academic and professional trajectory. It is a practical discipline of clarity: identify the missing step, reconstruct the reasoning and leave the learner with a process that can be reused independently.
Research opportunities, collaborative work and applied questions are welcome.
Let’s discuss