Passionate Data Scientist and AI enthusiast with hands-on experience spanning machine learning, big data, and full-stack development.
I am a passionate Data Scientist and AI enthusiast currently advancing my expertise through Master's studies in Data Science and Artificial Intelligence at the Faculté des sciences de Meknès.
My background spans machine learning, big data analytics, and full-stack development. I have a demonstrated ability to transform complex datasets into actionable insights through innovative ML solutions, ranging from real-time prediction systems to intelligent document processing. I love building production-ready pipelines and have hands-on experience creating unified LLM gateways and end-to-end predictive maintenance systems.
I am driven by combining technical proficiency with strategic thinking to drive impactful solutions. I also deeply value community leadership, having served as a Board Member for the Moroccan Data Scientists (MDS) to promote data science knowledge and open data initiatives across Morocco.
When I'm not coding:
I focus on personal fitness through bodybuilding and swimming.
I love to explore new places through travel.
I am multilingual, speaking Arabic, English, and French.
| Project | Description | Links |
|---|---|---|
| MCP Workbench | MCP Workbench is a production-ready platform for working with multiple LLM providers, MCP servers, and data science tools. Built with Next.js, React, and TypeScript. | GitHub |
| Diabetes Predictor Web Application | A comprehensive web application for predicting diabetes risk using machine learning models, developed by TAN Team. | GitHub |
| Chat with LLaMA-2 and PDFs | This project provides a Streamlit-based web application that allows users to chat with a conversational AI model powered by LLaMA-2 and retrieve answers based on uploaded PDF documents. | GitHub |
| Face Recognition System | The system captures real-time video feed from the webcam, detects faces using Haar cascade classifier, and recognizes them based on a pre-trained KNN classifier. Users can add new faces to the system, and the attendance of recognized individuals is logged in a SQL Database. | GitHub |
Technologies Used: Next.js, React, TypeScript, Drizzle ORM, Redis, Supabase, Docker
Technologies Used: React, TypeScript, Tailwind CSS, Axios, Flask, SQLite, Scikit-learn, Pandas, NumPy, XGBoost
Technologies Used: Python, python-dotenv, streamlit, PyPDF2, langchain, transformers, faiss, sentence-transformers
Technologies Used: Python, OpenCV, Flask, NumPy, scikit-learn, reportlab
| Institution | Degree | Duration |
|---|---|---|
| Preparatory courses for the Advanced Technician Certificate | Associate degree | 2021-09 - 2023-07 |
| Al Ahramate School of Management and IT | Associate | 2021-09 - 2023-07 |
| Higher School of Technology | Bachelor’s | 2023-10 - 2024-06 |
| Faculty of Science | Master’s | 2024-11 - 2026-10 |
Preparatory courses for the Advanced Technician Certificate
Al Ahramate School of Management and IT
Higher School of Technology
Faculty of Science
| Company | Position | Duration |
|---|---|---|
| Aikini Web & Tech | Data Analyst (Internship) | 2024-04 - 2024-06 |
| Growintern | Machine Learning Specialist (Internship) | 2024-08 - 2024-09 |
| XAI | AI Integration & Full-Stack Dev (Internship) | 2025-08 - 2025-10 |
| OCP S.A. | Data Science & AI Engineering | 2026-04 - 2026-10 |
- 📫 How to reach me bourhimtajeddine@gmail.com
- 👨💻 All of my projects are available at https://www.scorpiontaj.me
- 📄 Know about my experiences https://drive.google.com/file/d/1rSoeIfZHYM7thHeXNYK1e9_A8sYCBi8n/view?usp=sharing
