I'm a passionate Machine Learning and AI practitioner with 2+ years of hands-on experience building end-to-end intelligent systems from raw data to deployed, monitored models.
My focus lies in crafting robust, production-ready ML pipelines with a strong emphasis on reproducibility, explainability, and real-world performance. I enjoy working across the full ML lifecycle: exploratory analysis, feature engineering, model selection, threshold tuning, and robustness evaluation.
- 🔭 Currently building ML projects focused on fraud detection, credit risk, and churn prediction
- 🌱 Deepening expertise in ensemble methods, MLOps, and model monitoring
- 🧠 I once implemented gradient descent from scratch just to make sure I actually understood it. Turns out I didn't, then I did
- ⚡ Firm believer that a good confusion matrix tells a better story than accuracy ever will
- 📍 Based in Cairo, Egypt
Languages
Machine Learning
Data & Analysis
Visualization
Environment & Tools
| Project | Description | Tech |
|---|---|---|
| naked-ml | Popular ML algorithms built from scratch using only Python built-ins and NumPy — for deep educational understanding | Python NumPy |
| fraud-ml-deployment | End-to-end fraud detection pipeline with threshold tuning, robustness analysis, and a full monitoring plan | Python scikit-learn |
| credit-default-ensemble-ml | Credit default prediction using Random Forest & Gradient Boosting with probability-based error analysis | Python scikit-learn |
| customer-churn-ml | Leakage-safe churn prediction pipeline with reproducible evaluation and baseline modeling | Python scikit-learn |
| netflix-pandas-project | Multi-table Pandas mini-project simulating a real-world data environment with programmatically generated auxiliary tables | Python Pandas |
| medical-no-show-analysis | EDA of medical no-shows with data cleaning, feature engineering, and visualization for ML readiness | Python Pandas |
I'm actively looking for ML Engineering or Data Science roles where I can contribute to meaningful, real-world impact.
📬 Reach me at abdallahashraf5501@icloud.com, via LinkedIn, or on Twitter/X — always happy to connect.
"Build things that work. Understand why they work."