Work Experiences
My Work Experiences
2022 - 2024
Data Scientist
Apprenticeship
Carrefour France
I worked as a Data Scientist at Carrefour France, focusing on the development of a
machine learning model to predict product sales. This project involved creating a
sophisticated tool that leveraged historical sales data to forecast future trends,
thereby aiding in inventory and marketing strategy optimization.
In addition to predictive modeling, I also developed an interactive dashboard for
company employees. This dashboard was designed to provide real-time insights into
product sales performance, enabling users to make informed decisions based on
current data trends. The tool featured intuitive data visualizations to aid in the
analysis and presentation of sales metrics across different regions and periods.
These efforts were part of Carrefour's initiative to harness data science and
machine learning technologies to enhance operational efficiencies and customer
satisfaction. My role encompassed not only the technical aspects of these projects
but also collaboration with various teams to ensure that the implementations met the
strategic business needs effectively.
2023
Full Stack Developer
Freelance
Mairie de Levallois Perret
I worked as a Full Stack Developer at the Levallois Perret city
hall. My role involved developing a web application specifically designed for schools within the city to
monitor student attendance. Making daily operations more efficient for educators and
administrative staff.
2022
Full Stack Developer
Internship
Mairie de Marseille
I worked as a Full Stack Developer at the Marseille city
hall. My main responsibility was to develop a web application that provides
citizens with access to current and historical election results. This
application features results displayed in various graphical formats, which aids
in making the data more accessible and understandable to the general public.
Additionally, the application includes multiple filtering options that allow
users to tailor the presentation of the data according to their specific needs
or interests. Whether looking for results from a particular election year, by
region, or by candidate, the application enables detailed and customizable
views, enhancing user interaction and accessibility.
Skills
My Skills
Full Stack Development
HTML/CSS/JS
Expert
PHP Laravel
Expert
Bootstrap/Tailwind
Expert
Design Patterns
Advanced
Angular
Intermediate
TypeScript
Intermediate
Data Science
Python
Expert
SQL
Expert
Data Visualization
Expert
Machine Learning
Expert
GCP
Advanced
Spark
Advanced
Portfolio
My Portfolio
Handi GPT
Fune tune the Llama-3 LLM to help the people with
disabilities to find information of administrative procedures which they have
the right to have and build a accesible chatbot UI.
ML Football matches predictor
A machine learning model designed to predict the
outcomes of football matches. It leverages historical data from 40,000 matches, including
several key performance metrics, which are scraped and processed. The model
employs a Convolutional Neural Network and has achieved an accuracy rate of 84%.
New EVIACAM
rebuilding the software that is used by people with
disabilities to control the mouvement of the mouse using head mouvement.
incorporating cutting-edge technologies and algorithms for improved facial and
iris recognition.
ML Sea classifier
A academic project that classifies the sea images into
2 classes: sea and not sea using a CNN model with an accuracy of 98%.
Education
My Education
2022 - 2024
Master's Degree in Data Science
Universite Paris 8
2019 - 2022
Bachelor's Degree in Computer Science
Universite Aix Marseille
Contact
Get in Touch