Aymane Snoussi

This internship focused on developing a platform to detect and explain network anomalies for improved system security. Using machine learning models trained on the "Network Intrusion Detection" dataset, the platform analyzed key network features to efficiently identify potential threats. A key aspect of the platform was its ability to provide clear explanations for predictions, helping users understand the causes of anomalies and respond effectively.

This internship took place at the ONCF maintenance center, responsible for servicing and maintaining trains. The main project involved developing a timekeeping system for temporary employees using Arduino and RFID technology, focusing on efficient tracking and automation. The project provided practical experience in embedded systems, combining hardware and software components. Collaboration with team members ensured the successful implementation of the system, fostering problem-solving and technical skills essential for future engineering challenges.

During this internship, I contributed to the optimization of production processes at MTA, a leading company specializing in the design and production of electronic and electromechanical components for the automotive and agricultural industries. The main task was to create a detailed process description for a machine involved in manufacturing the 'UDB' fuse box with a circuit board. This involved analyzing production steps, documenting operations, and identifying opportunities to improve efficiency and quality.

Artificial Intelligence (AI) and Data Engineering involve using algorithms and data to create intelligent systems that can learn, reason, and make decisions. This program focused on these fields, emphasizing data analysis and engineering principles. Students explored various topics such as machine learning algorithms, deep learning, and image processing. Through practical projects, they learned how to analyze data and develop predictive models to solve complex problems. The program emphasized applying AI and data tools to optimize processes and create innovative solutions, preparing students for real-world challenges across different industries.

Completed a two-year program focused on physics, programming, mathematics, electronics, and mechanics, providing a strong foundation in embedded systems. This program combined theoretical learning with hands-on projects, preparing students for further studies in engineering.