Oussama Ahouzi

Ai Research Intern @Capital Fund Management (CFM)

Paris, FR

Analyzed earnings call transcripts to quantify corporate culture using traditional NLP techniques (e.g, TF-IDF, guided LDA, word2vec) and Large Language Models.• Performed regression analysis to investigate the relationship between cultural scores and firm returns.• Explored a public dataset of news articles (FNSPID), leveraging LLMs (e.g: LLama 3.1, Mistral) to extract various useful company information.• Fine-tuned small Named Entity Recognition (NER) models (e.g: GLiNER, Span-Marker) using the extracted data.• Co-authored a Hugging Face blog post on this case study in collaboration with Hugging Face Engineers.

National School of Computer Science and Applied Mathematics of Grenoble

Master of Engineering in Applied Mathematics - MEng

CPGE - Classes préparatoires aux grandes écoles

Scientific Preparatory Classes. Mathematics, Physics and Engineering

École normale supérieure Paris-Saclay

MSc MVA (Mathématiques, Vision, Apprentissage)