- Introduction to software engineering
- Probability and statistics
- Computer Architecture
- Electronics
- Data Structure and Algorithm
I’m a motivated computer engineering student who loves solving real-world problems through technology. I enjoy building intelligent systems, exploring data-driven solutions, and continuously learning new tools and frameworks.
A predictive sports analytics platform built in Python, using real-time NHL API data and multivariable regression.
🎯 Achieved a 5% accuracy margin compared to major betting apps
📊 Used NumPy, Pandas, and Scikit-learn for modeling
🔗 Integrated data pipelines and live odds monitoring
🧮 Applied data visualization and predictive analytics
⚙️ Implemented robust data preprocessing and evaluation pipelines
📈 Ranked among top-performing teams (Top 10)
A robust, containerized file conversion API built with Java Spring Boot, designed for scalability and extensibility.
This project provides a clean web interface and REST API to convert files between multiple formats (documents and images). It uses a Factory Pattern architecture to dynamically select conversion strategies, making it easy to add new formats in the future.
🚀 Live Demo 👉 Access Live Application
Maximum file size: 1 GB per upload
Batch processing: Up to 15 files per request
This application is provided as a many-to-many file conversion proof-of-concept. Conversion quality may vary for complex documents, and not all format combinations are guaranteed.
A hands-on blockchain simulation written in Python, illustrating how blocks, hashes, and transactions work.
This project demonstrates the core principles of blockchain technology — including block creation, hashing, and chain validation — using Python.
To ensure data integrity and immutability, each block’s content is hashed using the SHA-256 algorithm:
🖥️ Features user authentication and server-client communication
📡 Implements multiple message-handling protocols
🧱 Built for university software introduction coursework
Built a privacy-focused AI content detection platform that identifies AI-generated text, images, and videos in real time.
Led a mechanical and operational team, improving efficiency by 35% while ensuring customer safety and satisfaction.
Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, JUnit, XGBoost, Guava, OpenCV, mediapipe, pyautogui
📧 Email: yandouziyassine@gmail.com
🔗 LinkedIn: https://www.linkedin.com/in/yassine-yandouzi/
🌐 Portfolio: https://yassineyandouzi.com/
⭐ Always open to collaborations on AI, data, Robotics and impactful tech projects. Let’s build the future together!