Hi, I'm Sara Hammouda.
A
Data Science student passionate about Python, SQL, and Artificial Intelligence, focused on turning raw data into meaningful insights.
About
I am a Data Science student passionate about Python, SQL, and Artificial Intelligence. I enjoy solving complex problems and transforming data into actionable insights. I am eager to learn and contribute meaningfully in data-driven projects. I have experience with Python, SQL, machine learning, and data visualization libraries. I am continuously building my skills in AI and machine learning to develop impactful solutions. I am passionate about using data to solve real-world challenges and help organizations make smarter decisions.
- Languages: Python, SQL, C++, HTML/CSS
- Databases: MySQL, PostgreSQL
- Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
- Frameworks: TensorFlow, Keras, Flask, Django (learning)
- Tools & Technologies: Git, Jupyter Notebook, Docker (basic), VS Code
Looking for an opportunity to work in a challenging position that leverages my skills in Data Science and Artificial Intelligence, providing professional growth, exciting experiences, and meaningful impact.
Experience
- Co-developed a mobile app for construction material delivery with real-time GPS tracking.
- Built an ML model to predict delivery delays (traffic, weather), improving user experience and operational efficiency.
- Tools: Flutter, Python, Machine Learning, GPS APIs
Projects

AI-driven retail insights project using Market Basket Analysis and LSTM forecasting.

Flutter app for construction material delivery using AI to predict delays and optimize logistics.
Skills
AI & Data Science Tools

Languages and Databases



Frameworks


Education
Nabeul, Tunisia
Baccalaureate - Mathematics Section
Graduated: July 2021
Ariana, Tunisia
Bachelor of Engineering in Computer Science
Expected Graduation: September 2026
Relevant Coursework:
- Big Data & Business Intelligence (BI)
- Machine Learning
- Statistics & Probability
- Linear Algebra & Algorithms
Paris, France
Master 2 Intelligence Artificielle & Business Technology
Starting: October 2025
Focus Areas:
- Machine Learning & Deep Learning
- Big Data & Streaming Systems
- Natural Language Processing (NLP)
- Python Programming & Algorithms for Data
- Business Intelligence & Data Warehousing
- AI Ethics & Innovation Leadership
- Certifications: AWS Cloud Practitioner, Power BI (PL-300), Dataiku, PMI Ready