MSc Applied Mathematics & Statistics — Data Science · Université de Caen Normandie 🇫🇷
I build end-to-end ML systems — from raw data ingestion to production deployment and monitoring.
Clean pipelines. Reproducible results. Real business impact.
🎯 Open to : Data Science · Machine Learning · ML Engineering · MLOps · Data Engineering
- 🤖 Machine Learning & NLP — classification, fraud detection, imbalanced learning, log analysis, clustering
- 📈 Time series — forecasting, feature engineering, model comparison, experiment tracking with MLflow
- ⚙️ ML Engineering / MLOps — model deployment, confidence scoring, production monitoring, alerting workflows
- 🔌 Data Engineering — ETL/ELT pipelines, BigQuery, REST API integration, cloud automation
- ☁️ Cloud — GCP for data pipelines and serverless deployment; Azure ML, Azure Databricks and Azure AI Foundry
data collection & API integration → cleaning & preprocessing → feature engineering
→ ML model training & tuning → evaluation & tracking (MLflow)
→ API / app integration → cloud deployment (Cloud Run)
→ monitoring, alerting & dashboards
Not just notebooks — complete, deployable systems.
Tech: PySpark · Spark MLlib · Python · SQL · Superset
- Distributed pipeline: join, clean and prepare identity + transaction data at scale
- Feature engineering, supervised modeling, imbalanced learning
- Evaluation: ROC-AUC, PR-AUC, recall, F1 + dashboard for fraud pattern analysis
➡️ github.com/elfahad98/ieee-fraud-pyspark
Tech: Python · scikit-learn · XGBoost · MLP · pandas · NumPy
- Behavioral and time-based feature engineering (frequency, device signals, login patterns)
- Benchmarking: Logistic Regression vs XGBoost vs MLP
- Imbalanced learning, threshold tuning, recall-first optimization
➡️ github.com/elfahad98/ato-fraud-detection-mlp
Tech: Python · pandas · scikit-learn · statsmodels · MLflow
- Preprocessing pipeline, lag and rolling-window features, leakage-free splits
- Model comparison: Ridge vs SARIMA/SARIMAX vs baselines
- Experiment tracking with MLflow, evaluation on validation and test sets
➡️ github.com/elfahad98/water-temp-forecast
- Email: elfahad98@gmail.com