About Me

Exploring the intersection of Music, Arts, Data Science, and Artificial Intelligence

My Story

Hello, Bonjour, Grüezi, مرحبا 👋 I'm Nour Ghribi (Nouri) – a blend of cultures, tech, and art.

I'm a passionate explorer at the crossroads of technology and creativity. My journey spans data science, AI, music, and digital art. I studied at EPFL, and I've worked on financial data analysis, Large Language Models, Retrieval Augmented Generation, and all things AI.

I've been involved in some cool initiatives, from leading data science projects to co-founding Applied Machine Learning Days Africa. I also got to contribute to the Tunisia Global Forum Geneva, organized by the World Alliance of Tunisian Talents, where the 2024 edition, "Bridging Borders," celebrated art and the Tunisian diaspora worldwide.

When I'm not coding or building AI solutions, you'll find me active in the music scene in Lausanne. I've organized past events and love connecting with the creative community here. Music and art aren't just hobbies for me – they're integral parts of how I think and create.

I love combining analytical thinking with creative expression. Whether I'm in my data scientist mode, playing music an DJing, generating AI art, or analyzing data, I'm always looking for new ways to bridge the gap between science and art.

This website is my personal space, my bord to share thoughts, insights, experiments, and creations across these diverse fields. Join me on my journey.

What I Do

Data Scientist / LLM Engineer

Artefact (Ex Effixis) • 2024 - Present

Currently senior Data Scientist and LLM Engineer. I'm developing innovative AI solutions and implementing cutting-edge language model-powered tools that push the boundaries of what's possible with AI. I've worked on multiple projects in AI consulting contexts, helping businesses leverage AI to solve real-world challenges and drive innovation.

Data Scientist Intern

Compagnie Financière Tradition • 2022-2023

Transformed financial data into actionable insights through innovative modeling and graph theory techniques. This experience taught me how to find patterns in complex financial systems.

Data Analyst Intern

Compagnie Financière Tradition • 2022

Started my journey by analyzing complex datasets to uncover trends and advise on process improvements, turning raw data into structured, valuable information. This is where I learned to love the art of data storytelling.

Technical Skills

Programming Languages

Python Scala Java Bash

ML/AI Tools

PyTorch scikit-learn NumPy Matplotlib LLMs RAG LangChain LangGraph Google ADK AWS Bedrock

Data Tools

Pandas Spark MySQL PostgreSQL NoSQL MongoDB Postgres

Web Development

Astro TypeScript React Tailwind CSS

Tools & Creative

Development Tools

Git Docker Linux VSCode Terraform Jenkins CI/CD

Cloud & Infrastructure

Google Cloud AWS Terraform (IaC) Jenkins CI/CD

Creative Skills

Music Digital Art AI Art Generation Prompt Engineering

Background

EPFL - École Polytechnique Fédérale de Lausanne

Communication Systems & Data Science

My time at EPFL shaped my approach to problem-solving, combining rigorous technical training with creative thinking. I developed expertise in financial data analysis, Large Language Models, Retrieval Augmented Generation, and AI – skills that I now blend with my passion for art and music.

Let's Connect

Interested in collaboration, discussing ideas, or just want to say hello? I'd love to hear from you!

Get in Touch