Oussama Zaibi

Data Scientist II

Salaire / Taux journalier

Paris, France

Freelance, ouvert au CDI

Expertises

Machine Learning

Langues

ArabeAnglaisFrançaisEspagnol

À propos

Introduction

Data Scientist II at Rexel with expertise in RAG pipelines, LLMs, and Azure AI solutions. Built automated knowledge base systems and fine-tuned OCR-free transformers achieving 85% F1-score. Specialized in MLOps, document processing, and prompt engineering to deliver production-ready AI solutions for enterprise clients.

Liens

Expérience de travail

Rexel

mars 2024 - Présent

2 ans 8 mois

Data Scientist II

juin 2025 - Présent

1 an 5 mois

Data scientist

sept. 2024 - juil. 2025

11 mois

Paris, France

Data Scientist - intern

mars 2024 - août 2024

6 mois

Paris, France

Internship focused on optimizing the Offline Indexing Process of Rexel’s Retrieval Augmented Generation (RAG) pipeline to build and maintain a query-ready knowledge base (RexelGPT). • Developed an end-to-end automated pipeline leveraging Azure AI Search to enable efficient knowledge base CRUD operations, status monitoring, and history tracking • Integrated Azure AI Search SDK into Rexel’s backend as an agnostic search service for multiple AI use cases • Explored cost-effective alternatives to improve the offline indexing process while ensuring reliability • Collaborated on defining evaluation strategies and user feedback collection to assess knowledge base performance

Artificial Intelligence Engineer

Forensic Risk Alliance

oct. 2023 - mars 2024

6 mois

Paris, France

• Developed synthetic image documents to fine-tune a Donut Transformer. • Conducted extensive preprocessing techniques for low-quality document images. • Finetunned OCR-free end-to-end Transformer model for image classification and invoice parsing achieving an 85% f1-score. • Addressed security and ethical implications of data extraction in forensics.

Data Scientist

Altimate AI

mars 2022 - mai 2023

1 an 3 mois

San Francisco, Californie, États-Unis

As a team member in an early-stage startup, I contributed to the development of a low-code, data-centric platform simplifying data management for data scientists. Specifically: • Tested and implemented new features to enhance platform functionality • Identified and resolved product issues to improve stability and user experience • Conducted research and developed pocs for image analysis features to expand platform capabilities • Developed and refined prompt engineering techniques to optimize LLM-generated SQL outputs • Collaborated on defining and implementing data contracts for dbt to ensure data quality and consistency

Physical Security Engineer

ANCS - tunCERT

juil. 2021 - août 2021

2 mois

Tunis, Tunisie

• Designed a remote temperature and humidity detection unit for servers room with the goal of improving response times to unexpected cooling system problems. My work resulted in a faster and more effective intervention process, helping to minimise downtime and prevent damage to critical systems.

Data Scientist

Datagram

juil. 2021 - août 2021

2 mois

Tunis, Tunisie

• Analyzed and modeled Amazon’s product ranking patterns using time-series techniques to leverage insights for client advantage • Detected noise in scraped data and collaborated with data engineers to improve data quality and reliability


Formation

Télécom Paris

Engineer's degree

2022 - 2024

2 ans 4 mois

SUP'COM

ICT engineering

2020 - 2024

5 ans

IPEIT - Institut Préparatoire aux Etudes d'Ingénieurs de Tunis

2018 - 2020

3 ans

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