• 🎓 Currently: 3rd year of the Engineering cycle, Data & Artificial Intelligence major at ESILV (2026 – 2029).
• ⚡ Apprenticeship: Data Project Manager apprentice at Enedis: data project management, reporting & data/AI governance.
• 📐 Background: 2 years of integrated preparatory cycle (préING) at CY Tech, Applied Mathematics & Computer Science.
• 🤖 Recent projects: A French conversational AI agent (LangChain + GPT-4o-mini) and an ETL pipeline on INSEE open data.
• 🤝 Beyond code: Vice-President of the Eurêka association, co-organizer of the ORIENT'ACTION event, member of the Egylink network.
• 🌍 Languages: Trilingual.
• 💬 Interests: Sports, Perfumery, Automotive, Data, AI, Databases, Optimization, Project Management.
• 📫 Contact me: a.eish@outlook.fr

class Ahmed:
    def __init__(self):
        self.role      = "Data Project Manager Apprentice @ Enedis"
        self.school    = "ESILV - Data & AI Engineering (2026-2029)"
        self.previous  = "CY Tech - Integrated Preparatory Cycle"
        self.stack     = ["Python", "Pandas", "LangChain", "SQL", "C"]
        self.learning  = ["Power BI", "Data governance", "AI agents"]
        self.languages = 3  # trilingual 🌍

    def motto(self):
        return "Data is only useful when it drives a decision."

me = Ahmed()
print(me.motto())

💻 Languages & Tools

📊 Data & AI

🌱 Currently learning

Conversational AI agent answering natural-language questions in French about INSEE inter-municipal migration data (2018–2022), with automatically generated charts.

Did households leave big cities after Covid-19? ETL pipeline on INSEE residential mobility flows (2018–2022), net migration of major metropolises and empirical testing of Zipf's & Gibrat's laws. Team project (4 people).

Processing and cleaning system for large datasets (500 MB) built on AVL trees for algorithmic optimization, with Shell scripts automating statistical indicators and GnuPlot charts.

Management application in C with structured CSV storage: verification, cleaning and multi-criteria search functions to guarantee data reliability.

Fullstack web application: PHP/Java back-end handling complex queries and HTML/CSS front-end for a smooth user experience.