Available for new opportunities
I build and keep data platforms running - streaming pipelines, warehouses, and the databases underneath them.
Graduated in MIAGE Business Intelligence from the University of Paris Dauphine with a solid background in artificial intelligence from ENSEIRB-MATMECA, I have significant expertise in data analysis, data integration solutions, and data modeling. My professional experience includes roles in data analysis at Ligentec and data engineering at Société Générale where I worked with data engineers and architects on various stages of the data pipeline, including data acquisition, integration, and real-time analysis.
Databases & Infra
Programming
Data & AI
Experience
Fontenay-sous-Bois, France
Paris Dauphine University, Paris
Thesis: Survival analysis methods for detecting the risk of financial fragility
ENSEIRB-MATMECA, Bordeaux INP, Bordeaux
National Institute of Posts and Telecommunications (INPT), Rabat
Lycée Reda Slaoui, Agadir
Thesis: Convolutional neural networks for automatic driving of an autonomous vehicle
Projects
A production-grade streaming pipeline: a Faker clickstream producer feeds Kafka, PySpark Structured Streaming computes windowed revenue and category metrics, results land in PostgreSQL, and a Streamlit dashboard reads them live. Every service runs in Docker Compose.
An Apache Airflow 3 pipeline that ingests weather and air-quality data from Open-Meteo, enriches it with pandas, gates it behind data-quality checks, and generates daily and weekly reports. Covers sensors, TaskFlow, branching, and task groups.
A multi-model chatbot that lets users interact with GPT-3, GPT-4, Claude, and custom models through a unified interface.
Interactive CAPM analysis tool for French stocks from the CAC 40 index, built with Python and Streamlit for investors and financial analysts.
Real-time stock market data pipeline using Apache Kafka for ingestion, Spark Streaming for processing, and Cassandra for low-latency storage.
Implementation of the CCF algorithm for fast, scalable connected component computation using PySpark on GCP with Google Web Graph data.
AI system to pilot robots for an SSL Soccer Junior team at Robocup, using DDPG reinforcement learning and a physics simulator for training.
NLP classifier to detect whether a tweet relates to a real disaster, built with transformer-based models and Twitter API data.
End-to-end scraping pipeline for Avito.ma real estate listings with automated cleaning, trend analysis, and Power BI dashboards.
Convolutional neural network trained to drive an autonomous vehicle in a simulator, using behavioral cloning from human driving data.
Open to roles and collaborations in data engineering and database reliability. The fastest way to reach me is email.
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