CV

Research Intern (6 months)

LTCI - Télécom Paris

U-Statistics and sampling for facial recognition.

• Topic: Sampling for the estimation of U-Statistics, applied to bias reduction in facial recognition.

Junior Data Science Consultant (permanent contract)

Business & Décision

• Internal project: Built a voice assistant from scratch with Keras and Python, presented at the Salon de la Data in Nantes 2023.
• Project for the Regional Council of Brittany: Developed a custom named-entity recognition system on a large text corpus with Spacy (Python). Containerization with Docker and WSL, database connection via Semarchy.

Intern (6 months)

La Banque Postale

Identification and reduction of biases in facial recognition.

• Main project: Analysis of facial recognition algorithm results to extract biases with Python and Dataiku.
• Performed statistical tests and analyses to identify and eliminate variables potentially causing biases.
• Built a LightGBM machine learning model to correct the performance of the facial recognition algorithm.
• Additional project: Customer feedback analysis using LDA/NMF and zero/few-shot learning to classify verbatims (Scikit-Learn and Hugging Face).

Intern (3 months)

Orange Cyberdefense

Deep learning for the detection of malicious user-agents.

• Worked in a Big Data environment (tens of millions of logs per day): Hadoop, Spark (SparkSQL, MLlib), Zeppelin.
• NLP (Word2Vec), built a graph-based model (GraphX) and a neural network adapted to text analysis (Keras).

Intern (1 month)

ENSAI

Data analysis on student profiles and end-of-study internships.

• Described the evolution of internship topics over time with R.
• Used unsupervised methods to categorize ENSAI student profiles (PCA, MCA, K-Means clustering).

PhD

LTCI - Télécom Paris - EDMH

Applied mathematics

• Topic: Trade-off between performance and fairness in AI.

Master 2

Institut Polytechnique de Paris

Data Science

• Courses: Computer Vision, Representation Learning, Advanced AI for text and graphs, Responsible AI, Law and Ethics of Artificial Intelligence, ML Research Seminar, Structured Data: Learning and Prediction, Audio and Music Information Retrieval, Online Learning.

Engineering Degree

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

Data Science and Data Engineering

• Courses: Machine and Deep Learning, Reinforcement Learning, NLP, Complex Networks, Distributed Systems, NoSQL and Cloud Technologies, Data-Ops, Software Engineering, Bayesian Statistics, Non-parametric Statistics, Statistical Tests, Unsupervised Learning, Time Series.
• Erasmus exchange at Queen Mary University of London (United Kingdom): January to June 2021.

Preparatory Classes

CPGE Lycée Victor et Hélène Basch & University of Rennes 1

Economics and Social Sciences (ENS D2 Paris-Saclay)

• Courses: Mathematics, Macroeconomics, Microeconomics, General Studies, Management, Financial Accounting.