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About me

class AbdallahHashad:
    role        = "Machine Learning Engineer & Data Scientist"
    location    = "Cairo, Egypt πŸ‡ͺπŸ‡¬"
    edge        = "CFA-level valuation + DCF modelling + professional appraisal work"

    def building(self):
        return ["end-to-end ML pipelines", "leakage-proof feature engineering",
                "tuned gradient boosting models", "quantitative finance tooling"]

    def current_focus(self):
        return {"learning": ["Hands-On ML (GΓ©ron)", "Linear Algebra (Strang)", "SQL"],
                "goal": "models that answer real economic questions, not just minimise loss"}

🌐 Portfolio: abdallah-hashad.vercel.app Β β€’Β  πŸ“Š Kaggle: abdallahhashad0 Β β€’Β  ✍️ Medium: @abdallahhashad029


πŸ› οΈ Tech stack

Machine Learning

Python, pandas, NumPy, scikit-learn, TensorFlow, PyTorch

Data & Visualisation

Jupyter, Matplotlib, Seaborn, Power BI, MySQL, SQLite

Tools

Git, GitHub, VS Code, Excel, macOS

Quantitative Finance


πŸ“Œ Featured projects

Project What it does Stack
🏠 moscow-real-estate-price-prediction 0.98 RΒ² CV β€” CatBoost / XGBoost / LGBM ensembles, SHAP analysis Python CatBoost SHAP
🌾 food-price-inflation-analysis ML pipeline predicting global food price shocks (1990–2024) Python LGBM Power BI
🏑 airbnb-revenue-prediction Revenue model on 90k+ EU listings, incl. leakage detection Python CatBoost
🩺 Diabetes-classification 6 classifiers with tuned sklearn pipelines Python scikit-learn
πŸŽ“ student-performance-prediction Score regression with sklearn pipelines Python scikit-learn

πŸ“Š GitHub stats


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