Data Science & Full Stack Developer
Ghaith Snoussi
Enthusiastic Data Science Master's student with a strong passion for programming, artificial intelligence, and crafting elegant algorithms. My journey through IoT and embedded systems has built a solid technological foundation and fueled my deep interest in intelligent systems, data analysis, and AI-driven innovation.
Master's student in Data Science · IoT · AI · MERN Stack
Focus
AI, data systems, clean interfaces
Open to
Internships, freelance, collaboration
Expertise
Skills & Technologies
A blend of data, product, and engineering tools used to build interactive systems and visual experiences.
Data & AI
Web & Mobile
IoT & Embedded
Languages & Tools
Career
Experience
Practical work across IoT, AI, and web products, with an emphasis on real systems and measurable impact.
Tunbra
02/2025 – 06/2025
Mahdia Business Incubator
Final Year Intern
ExperienceDeveloped and deployed a dual IoT system including a smart access control system for Fablab machines using RFID and a real-time visual surveillance system with AI-based people detection. Designed and implemented a full-featured MERN web application for user management, machine usage tracking, space reservations, and admin dashboards.
Work
Projects
Selected work spanning websites, data analysis, and real-time systems, presented with a more editorial layout.
Institutional Website — Climat Énergie Tunisie
Developed and launched a full institutional website for Climat Énergie Tunisie. Improved user engagement, performance, and organic SEO reach significantly.
- 35% improvement in user engagement across devices
- 40% reduction in page load time
- 50% increase in organic traffic within 3 months
Credit Risk Analysis — German Credit
Analyzed the German credit risk dataset to identify key predictors of loan defaults. Built classification models with high accuracy using preprocessing and feature engineering.
- 85%+ accuracy in credit risk prediction
- 15% model performance gain via feature engineering
- Actionable insights for data-driven lending decisions
Real-Time Tweet Analysis
Processed over 1 million tweets in real-time using Apache Kafka and Spark. Extracted sentiment trends and visualized data patterns through interactive dashboards.
- 1M+ tweets processed in real-time at 95% accuracy
- 40% latency reduction with Kafka + Spark pipeline
- 30% efficiency gain in social media monitoring
Mobile App — MegaTel
Contributed to an Agile/Scrum project to develop a mobile application for MegaTel. Handled UI/UX design and Flutter development.
- Built with Flutter for cross-platform support
- UI/UX designed in Figma
- Agile Scrum methodology
Background
Education & Certifications
Academic training and certifications that support the technical side of the portfolio.
Education
2025 – 2027
Master 1 — Data Science
Institut Supérieur d'Informatique de Mahdia (ISIMA)
2022 – 2025
Bachelor's Degree — Computer Engineering
Institut Supérieur d'Informatique de Mahdia (ISIMA)
Languages
Certificates
Full Stack Web Development
Automated Machine Learning for Beginners (Google & Apple)
HTML, CSS, and Javascript for Web Developers
Data Structures and OOP with C++ — CS104, CS105
JavaScript Fundamentals to Advanced: Full Stack Development
Let's connect
Get in touch
I'm open to opportunities, collaborations, and conversations about data science, product design, and modern web experiences.