- Data Scientist | ML Engineer | Power BI | Pharos University
- Passionate about ML pipelines, AI apps, and data storytelling
- I build from raw data to feature engineering to deployment-ready apps
- Based in Alexandria, Egypt
- Reach me: hagerbayoumi11@gmail.com
Flutter app for early cancer detection using medical images & symptom questionnaires
- AI model identifies cancer type + generates medical summaries
- Patient & doctor dashboards with appointment management
- Tech: Flutter, TensorFlow, Firebase
Trained & compared 9 ML models on OULAD dataset (32,593 students, 70+ features)
- Best model: AUC 93.1% | F1 88.8% (Ensemble Top 3)
- Real-time risk scoring: Low / Medium / High + SHAP explainability
- Full Streamlit app with EDA dashboard, model leaderboard & AI recommendations
- Tech: Python, LightGBM, XGBoost, SHAP, Optuna, Streamlit
4-page interactive Power BI dashboard analyzing crop yield across climate factors
- Analyzed temperature, precipitation, fertilizer & pesticide impact
- Key insight: optimal yield at 15-25C | recommended ML-based weather forecasting
- Tech: Python, Power BI, Excel
5-page Power BI dashboard — 50K customers | $184M revenue | 2020-2023
- Customer segmentation by age, gender & product performance
- Identified key churn drivers & recommended targeted discount strategy
- Tech: Power BI, Excel, DAX
| Course | Provider |
|---|---|
| Machine Learning for Data Analysis | NTI — National Telecommunication Institute |
| Data Analysis with Power BI & Excel | Arabian Academy |
| Python Development | Skillsdynamix / New Horizons |
| Flutter Development | Route Academy |
| Frontend Development (HTML, CSS, JS, React) | Skillsdynamix / New Horizons |
