Mohamed KOUHOU
// 02. about_me
About Me
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.
// 03. tech_stack
Skills
Databases & Infra
Programming
Data & AI
// 04. git log ——oneline
Experience & Education
Experiences
Alternance Data Analysis - Retail Banking
Fontenay-sous-Bois, France
Education
Master's Degree in Business Information Systems and Data Analysis (MIAGE)
2022 - 2023Paris Dauphine University, Paris
Thesis: Survival analysis methods for detecting the risk of financial fragility
Exchange Year - Artificial Intelligence
2021 - 2022ENSEIRB-MATMECA, Bordeaux INP, Bordeaux
Data Engineer Degree
2019 - 2021National Institute of Posts and Telecommunications (INPT), Rabat
Classes Préparatoires aux Grandes Écoles (CPGE) (MP)
2017 - 2019Lycée Reda Slaoui, Agadir
Thesis: Convolutional neural networks for automatic driving of an autonomous vehicle
// 05. projects
Projects
ChatSage
A multi-model chatbot that lets users interact with GPT-3, GPT-4, Claude, and custom models through a unified interface.
CAPM Stock Analysis App
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 Analysis
Real-time stock market data pipeline using Apache Kafka for ingestion, Spark Streaming for processing, and Cassandra for low-latency storage.
Connected Components in Graph
Implementation of the CCF algorithm for fast, scalable connected component computation using PySpark on GCP with Google Web Graph data.
SSL Junior — Enseirb IA
AI system to pilot robots for an SSL Soccer Junior team at Robocup, using DDPG reinforcement learning and a physics simulator for training.
Disaster Detection on Twitter
NLP classifier to detect whether a tweet relates to a real disaster, built with transformer-based models and Twitter API data.
Web Scraping — Avito.ma
End-to-end scraping pipeline for Avito.ma real estate listings with automated cleaning, trend analysis, and Power BI dashboards.
CNN for Self-Driving Cars
Convolutional neural network trained to drive an autonomous vehicle in a simulator, using behavioral cloning from human driving data.
Get In Touch
I'm always open to new opportunities and collaborations. Whether you have a question or just want to say hi, feel free to reach out!
© 2026 Mohamed KOUHOU. All rights reserved.