Resume

Data Scientist

Capgemini Invent Lab

Contributor to MAPIE, an open-source scikit-learn-compatible Python library for prediction intervals, uncertainty quantification, and risk control in machine learning, developed in collaboration with Capgemini Invent, Quantmetry, Michelin, and ENS Paris-Saclay.

• Conformal prediction methods for regression and time series.
• Risk control algorithms with distribution-free guarantees.

PhD Researcher (CIFRE)

DataStorm

Research on estimation and prediction for irregular trajectories through functional data analysis. Projects for DataStorm clients.

• Application: Load curves of electricity production and consumption.
• Implementation of developed methods in C++, R, and Python.
• Supervisor of an Intership on the estimation of the regularity of noisy functional data.
• Short- and medium-term forecasts of hydroelectric park production.
• R package for deploying hydroelectric production forecast models.
• MCO of a Shiny app for forecasting calls for an energy provider's call centers.
• MCO of a Shiny app for analyzing simulations of the electrical grid's behavior.
• Data preparation and student supervision for the ENSAE Business Data Challenge.

Data Scientist Intern

DataStorm

Anomaly detection in a collection of noisy curves.

• Theoretical study and R implementation of depth functions for data.
• Curve clustering
• Functional linear modeling.

Data Scientist Intern

Inserm - Délégation Régionale Paris 5

Improvement of a Shiny application for medical literature mining.

• Queried PubMed REST API to retrieve articles and extracted keywords using NLP.
• Clustered articles based on keywords.

Research Intern

Consortium pour la Recherche Économique et Sociale (CRES)

Study of income inequality and its evolution in Togo.

• Econometric methods and decomposition of inequality indices.
• Programming in Stata and R.

Application Intern

Institut National de la Statistique du Niger

Study of determinants of food insecurity in Niger.

• Survey data cleaning, imputation, reweighting, GLM.
• Programming in Stata and R.

Application Intern

Institut National de la Statistique du Niger

Descriptive analysis of early marriages in Niger.

• Handling survey data, Descriptive Statistics.
• Programming in SPSS, Stata, and R.

PhD in Statistics

École Nationale de la Statistique et de l'Analyse de l'Information (ENSAI - Bruz)

Applied Mathematics

• Thesis: Functional Time Series Analysis with Applications to Electricity Production Forecasting.
• Supervisors: Valentin Patilea & Myriam Vimond
• CIFRE convention with DataStorm (Paris)

Research Master's Degree

Université de Rennes 1

Research Master’s in Mathematics and Applications, Fundamental Mathematics track

• Parametric statistics, Non-parametric statistics, Process statistics, etc.

Diplôme d'Ingénieur — Data Science & Génie Statistique

École Nationale de la Statistique et de l'Analyse de l'Information (ENSAI - Bruz)

Data Science & Statistical Engineering

• Statistical modeling, Machine learning, Deep learning, Non-linear modeling, Image processing, Processes and forecasting, Quality/Reliability, etc.

Statistician engineer

École Nationale de la Statistique et de l'Analyse Économique (ENSAE-Dakar)

Statistics and decision-making IT

• Statistics, Data mining, Econometrics, Micro/Macroeconomics, Survey methods, IT, etc.

Adaptive Prediction for Functional Time Series

CREST Working Paper

With V. Patilea and M. Vimond. Journal submission forthcoming, targeting Fall 2026.

Adaptive Estimation for Weakly Dependent Functional Time Series

Journal of Time Series Analysis

With V. Patilea and M. Vimond. Published June 2025.