Second-year engineering student in Data Engineering and Decisional Systems at ENET'Com, I am passionate about data exploration and analysis. My academic background in computer science, specialized in Big Data and data analysis, has allowed me to develop a solid technical foundation.
I am particularly interested in artificial intelligence, machine learning, and cloud technologies. I enjoy tackling technical challenges and finding innovative solutions to complex problems. My goal is to apply my skills to high-impact projects that transform data into valuable insights.
Outside of my studies, I am involved in the IEEE ENET'Com Student Branch to broaden my horizons and collaborate with other technology enthusiasts.
Specialized program focusing on advanced data engineering concepts, machine learning algorithms, and decision support systems. Currently developing expertise in big data technologies and AI applications.
Comprehensive program covering programming fundamentals, database management, statistical analysis, and data visualization. Graduated with strong foundation in Python, SQL, and analytical thinking.
Project: AI-Powered DTC Test Automation
Description: Designed and developed an AI-powered system to automate test case generation for DTCs, transforming raw Excel DTC descriptions into executable test cases for automotive ECUs.
Key Responsibilities & Achievements:
Project: E-commerce Receipt Printing Automation System
Description: Developed a comprehensive solution including a web platform and desktop application for automated receipt printing in e-commerce environments. Worked in an agile development environment using Scrum methodology.
Key Responsibilities & Achievements:
Project: Invoice Generation and Management Platform
Description: Designed and developed a web-based platform for streamlined invoice creation, management, and tracking. Focus on user experience and efficient data handling.
Key Responsibilities & Achievements:
Developed an AI system to convert Excel DTC descriptions into executable Robot Framework test cases. Leveraged NLP, data engineering, and T5 Transformers to reduce manual effort by 90% and accelerate ECU validation.
Performed statistical analysis on stroke-related clinical data to explore associations between NIHSS scores, age, lifestyle factors, and stroke presence. Integrated visualizations and hypothesis testing for medical insights.
Built a minimalist version control system in C for Linux, featuring SHA-256 file hashing, blob creation, WorkTree management, and filesystem snapshots.
The IDSD showcase website highlights the program, student profiles, and career opportunities in the Data Engineering and Decision Systems field at ENET'Com, offering an interactive and informative experience.
Built a smart book recommendation platform powered by an AI agent that personalizes suggestions based on user preferences and reading history.
Developed a web-based simulation featuring an autonomous AI agent capable of navigating and cleaning a dynamically generated environment with pathfinding algorithms.
Oracle
August 2025
Comprehensive certification introducing generative AI concepts and applications. Covers building and deploying AI solutions using Oracle Cloud Infrastructure.
View CertificateKodeKloud
Februray 2025
Professional certification introducing AI and machine learning concepts. Covers Azure AI services, computer vision, and NLP applications.
View CertificateKodeKloud
Februray 2025
Comprehensive certification introducing core data concepts and database types. Covers Azure data services, analytics, and basic data workloads.
View CertificateNVIDIA
Februray 2025
Comprehensive certification introducing deep learning fundamentals. Covers practical applications in computer vision, NLP, and AI.
View CertificateValedictorian of the 1st year of the Engineering Program in Data Engineering and Decisional Systems, with a GPA of 16.49.
Being the valedictorian of my promotion for the entire three years of my bachelor's degree allowed me to gain admission to ENET'Com Sfax, a public engineering school, through the specific entrance exam for engineering programs.
Excellence Award for Graduates from the University of Sfax and Government of Sfax on the Occasion of Knowledge Day, with a GPA of 17.00 and the highest among graduates from both the Engineering and Bachelor's degree programs at the Higher Institute of Computer Science and Multimedia of Sfax.
Valedictorian in the 3rd year of a Bachelor's degree in Computer Science, specializing in Big Data and Data Analysis, with a GPA of 17.00.
Valedictorian in the 2nd year of a Bachelor's degree in Computer Science, specializing in Big Data and Data Analysis, with a GPA of 16.87.
I'm always interested in new opportunities and collaborations. Feel free to reach out if you'd like to discuss projects, internships, or just have a chat about data science and technology!
Download My CVSfax, Tunisia