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.
Skills
Python
90%R
70%SQL
80%Java
60%PySpark
60%GCP
60%Power BI
80%Experience & Education
Experiences
Retail Banking Data Apprenticeship
Oct 2022 - Sept 2023Société GénéraleData Analytics Internship
Feb 2022 - Aug 2022Ligentec SA 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
Projects
ChatSage is a multi-model chatbot application that allows users to interact with various language models including GPT-3, GPT-4, Claude, and custom models.
This app is designed to make CAPM analysis accessible and interactive. Built with Python and Streamlit, it focuses on French stocks from the CAC 40 index, providing a user-friendly interface for investors and financial analysts.
Implementation of the "CCF Fast and scalable connected component computation in MapReduce" algorithm with PySpark and DataBricks on GCP using Google Web Graph data.
Development of an AI to pilot robots for an SSL Socker Junior team for the Robocup competition. Use of DDPG (reinforcement learning) architecture and a simulator for robot training and strategy.
Extraction of ad data from the avito.ma website with BeautifulSoup, cleaning and transformation of this data, creation of an analytical study of prices and highlighting of real estate price trends, presentation on dashboards.
Training a convolutional neural network to drive an autonomous car
NLP for sentiment analysis of tweets collected from a Twitter API. The aim was to detect whether a tweet was about a disaster or not.
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!
© 2025 Mohamed KOUHOU. All rights reserved.
Skills
Python
90%R
70%SQL
80%Java
60%PySpark
60%GCP
60%Power BI
80%Experience & Education
Experiences
Retail Banking Data Apprenticeship
Oct 2022 - Sept 2023Data Analytics Internship
Feb 2022 - Aug 2022Education
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
Projects
ChatSage is a multi-model chatbot application that allows users to interact with various language models including GPT-3, GPT-4, Claude, and custom models.
This app is designed to make CAPM analysis accessible and interactive. Built with Python and Streamlit, it focuses on French stocks from the CAC 40 index, providing a user-friendly interface for investors and financial analysts.
Implementation of the "CCF Fast and scalable connected component computation in MapReduce" algorithm with PySpark and DataBricks on GCP using Google Web Graph data.
Development of an AI to pilot robots for an SSL Socker Junior team for the Robocup competition. Use of DDPG (reinforcement learning) architecture and a simulator for robot training and strategy.
Extraction of ad data from the avito.ma website with BeautifulSoup, cleaning and transformation of this data, creation of an analytical study of prices and highlighting of real estate price trends, presentation on dashboards.
Training a convolutional neural network to drive an autonomous car
NLP for sentiment analysis of tweets collected from a Twitter API. The aim was to detect whether a tweet was about a disaster or not.
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!
© 2025 Mohamed KOUHOU. All rights reserved.
Projects
ChatSage is a multi-model chatbot application that allows users to interact with various language models including GPT-3, GPT-4, Claude, and custom models.
This app is designed to make CAPM analysis accessible and interactive. Built with Python and Streamlit, it focuses on French stocks from the CAC 40 index, providing a user-friendly interface for investors and financial analysts.
Implementation of the "CCF Fast and scalable connected component computation in MapReduce" algorithm with PySpark and DataBricks on GCP using Google Web Graph data.
Development of an AI to pilot robots for an SSL Socker Junior team for the Robocup competition. Use of DDPG (reinforcement learning) architecture and a simulator for robot training and strategy.
Extraction of ad data from the avito.ma website with BeautifulSoup, cleaning and transformation of this data, creation of an analytical study of prices and highlighting of real estate price trends, presentation on dashboards.
Training a convolutional neural network to drive an autonomous car
NLP for sentiment analysis of tweets collected from a Twitter API. The aim was to detect whether a tweet was about a disaster or not.
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!
© 2025 Mohamed KOUHOU. All rights reserved.