Freelancer profile translated to English.

Description

I am a Data Scientist specializing in machine learning, NLP, and generative AI. What sets me apart? I have a solid Data Engineer background. Specifically, I don't just prototype a model in isolation: I design end-to-end solutions, from the initial business framing to production industrialization.

Accustomed to collaborating with technical and business teams, I like to understand the "why" before coding. My goal is to propose solutions that truly serve your business, not just algorithms that work on paper.

I primarily focus on:

Generative AI & NLP: RAG architectures, semantic search, text generation to leverage your unstructured data.
Development of ML & Deep Learning models: Custom-built for prediction, classification, or automation.
Data pipelines: Creation and automation (ETL, Spark, Airflow) to ensure your models have clean and reliable data.
Industrialization (MLOps): Docker, CI/CD... to ensure the model actually runs in production, robustly and scalably.

I work mainly in English (fluent), my French is progressing (B1 level), and I integrate very well into international teams. If you're looking for a profile that can handle data from A to Z, don't hesitate to write to me!

Industry field of expertise

Languages

Arabic
Native or bilingual
English
Fluent
French
Conversational

Workplace preferences

Can work on-site

Paris (up to 50km)

InfoPLU
Data Scientist / GenAI Consultant
August 2025 - April 2026 (8 months)
Paris, France
Design of an urban planning platform based on a RAG architecture for easy navigation through complex regulatory documents.
Extraction, structuring, and vectorization of data to enable fast and relevant semantic search.
Complete automation of the data ingestion and processing workflow via n8n, making the process 100% autonomous.
Design and management of the embedded database, applying an "End-to-End" approach combining my Data Engineering (pipelines, storage) and Data Science (RAG model, NLP) skills.
Data Pipelines & Automation NLP & LLM (Generative AI, RAG) Data Engineering (ETL, Spark) SQL
FortyGuard
Machine Learning Engineer
ENVIRONMENTAL
September 2025 - February 2026 (5 months)
Development of machine learning models for business use cases (prediction, data analysis)
Participation in defining needs and translating them into algorithmic solutions
Implementation of data processing pipelines for training and evaluation
Optimization of model performance (feature engineering, tuning)
Contribution to the industrialization and deployment of models
Python Machine Learning Data Pipelines & Automation Deep Learning DevOps Forecast
LigaData
Data Engineer
TELECOMMUNICATIONS
June 2022 - January 2025 (2 years and 7 months)
Design and maintenance of automated ETL pipelines for processing large volumes of data.
Optimization of cloud workflows to improve reliability and performance.
Implementation of monitoring and performance analysis solutions.
Automation of data integration processes, reducing manual tasks.
Collaboration with cross-functional teams to deliver robust solutions.
Participation in technical choices and directions for developed solutions.
Data Engineering (ETL, Spark) Data Pipelines & Automation DevOps Scala Airflow