Generative AI
Exploring how Generative AI can drive innovation and enhance processes across industries
• I’m a 3rd-year IoT Engineering student at the Faculty of Sciences of Tunis (FST), passionate about Data Science and Machine Learning. Through hands-on projects and internships, I’ve developed skills in building data-driven business solutions, creating machine learning models, and exploring Generative AI applications.
• My goal for this year is to secure an internship in the Data Science/ML field. I'm eager to gain more real-world experience and contribute to innovative projects.
• When I'm not working on tech, I'm all about Formula 1 and Football,
cheering
for the Ferrari
Racing Team , and a huge Arsenal fan. I love the thrill of the competition and the
strategy aspect behind the two sports!
• Feel free to check the projects page to learn more about the projects I did as a data scientist.
Predictive Modeling | Behavior Analysis | Recommendation Systems | Computer Vision | A/B Testing | Optimization | Customer Segmentation | Time Series Analysis | Data Visualization | Cloud Computing | System Design | Database Design
Languages:
Python | SQL | C++ | PL/SQL | Delphi | JavaScript | HTML & CSS | VHDL
Frameworks & Libraries:
◦ Machine Learning:
Scikit-Learn | Pandas | Matplotlib | Numpy | Seaborn
◦ Deep Learning:
TensorFlow | Keras
◦ Generative AI:
Langchain | Huggingface Transformers
◦ Deployment & MLOps:
Docker | FastAPI | Streamlit | Heroku | AWS (S3, EC2)
◦ Databases:
Pinecone | FAISS | Postgres | Oracle | MySql
◦ Web Development:
Wordpress | Django | Bootstrap | JQuery
