🎓 M2 Data Science & Business Analysis
📍 Paris, France
🔎 Actively looking for an internship in Data Science / Data Analysis / Data Engineering
I’m a data-oriented profile with a strong analytical background, focused on turning raw data into actionable insights using Python, SQL and Machine Learning.
I enjoy working end-to-end: from data cleaning to modeling, evaluation, and deployment.
📌 Machine Learning project using official French DVF data
- Built an end-to-end ML pipeline (cleaning, feature engineering, modeling)
- Tested multiple models (Ridge, Random Forest, Gradient Boosting)
- Deployed an interactive Streamlit web app
- Evaluation based on MAE, RMSE and R²
🔗 Repo: https://github.com/saad-data-dev/Paris-Real-Estate-Price-Estimator
📌 Binary classification – Default risk estimation
- Data preprocessing & imbalance handling
- Feature engineering & model comparison
- Performance evaluation with precision, recall & ROC-AUC
🔗 Repo: https://github.com/saad-data-dev/credit-risk-prediction
📌 Exploratory Data Analysis & business insights
- Time series analysis
- Sales trends & seasonality
- Visualization and insights for decision-making
🔗 Repo: https://github.com/saad-data-dev/Walmart-Sales-Analysis
Languages & Tools
- Python (Pandas, NumPy, Scikit-learn)
- SQL
- Git & GitHub
Data & ML
- Data Cleaning & Feature Engineering
- Supervised Machine Learning
- Model Evaluation & Comparison
Visualization & Deployment
- Streamlit
- Matplotlib / Seaborn
- Jupyter Notebook
- Strengthening ML fundamentals & best practices
- Building clean, documented and reproducible projects
- Preparing for a Data Science internship
- 💼 LinkedIn: https://www.linkedin.com/in/saad-el-fatine
- 📧 Email: sa.elfatine@gmail.com
⭐ Feel free to explore my repositories and reach out!