From Physics to AI — building end-to-end ML systems from raw data to deployed production.
I'm a Data Scientist and ML Engineer with a Physics background, focused on building practical AI systems across the full pipeline — from EDA and statistical analysis to modeling, evaluation, and deployment.
- 🚀 2 live AI systems deployed on Vercel
- 🏅 IBM Data Science & Google Data Analytics Professional Certificates
- 🧠 Specialties: NLP · Deep Learning · Statistical Modeling · Power BI
- 🌱 Founder & CEO of LEADUP — youth non-profit focused on SDG 4 Quality Education
- 💼 Open to Data Scientist · ML Engineer · AI Engineer roles
| 🤖 ML Models Built | 📁 Projects Deployed | 🧪 Data Analyses | 🏅 Certifications |
|---|---|---|---|
| 50+ | 15+ | 100+ | 6 Major |
XGBoost LightGBM HuggingFace Transformers NLTK SpaCy YOLO BERT
🔴 Live = Deployed & accessible | 💻 Code = Open-source repo
| Project | Description | Stack | Status |
|---|---|---|---|
| 🏨 Hotel Intelligence System | 11-table SQL database from 119,390 records · ML cancellation prediction · Power BI KPI dashboard | SQL · Python · ML · HTML |  |
| 💪 APEX Body Performance AI | Predicts fitness grade (A–D) using 11 physiological metrics · 5-stage pipeline · 74.26% RF accuracy | Python · Scikit-learn · HTML | |
| 🎓 EduQuest AI Platform | AI-powered educational platform with smart quizzes, adaptive learning paths & progress tracking | React · Node.js · JS | |
| 🛸 Orbital ML Platform | Full-stack ML platform · REST API backend · interactive frontend · TypeScript | TypeScript · FastAPI | |
| Project | Description | Stack |
|---|---|---|
| 📡 Telco Churn Prediction | End-to-end ML · XGBoost · SHAP explainability · Streamlit app | Python · XGBoost · Streamlit |
| 🚗 UK Road Accident Analysis | EDA on 300K+ records · geospatial hotspot maps · Multi-class severity prediction | Python · Folium · Seaborn |
| 🧠 NLP Text Representation | BoW · TF-IDF · Word2Vec · BERT embeddings — comprehensive comparative study | Python · HuggingFace · NLTK |
| 🔐 SecurePass AI | ML password strength analyzer · Random Forest · KNN — ICAIL Graduation Project | Python · Scikit-learn |
| 📐 Student Performance — SPSS | Statistical analysis (n=20) · t-Test · Pearson Correlation · Outlier Detection | IBM SPSS · Python |
| Repository | Description | Size |
|---|---|---|
| 🤖 Complete Deep Learning Course | CNNs · RNNs · LSTMs · Transformers · TensorFlow & PyTorch | 📦 Large |
| 📘 ML Complete Course | Supervised · Unsupervised · Ensemble — 100+ notebooks | 📦 230MB+ |
| 🎓 IBM Data Science Certificate | All 10 courses · SpaceX capstone project · Official IBM Certified | 📦 Full Portfolio |
| 🏛️ Digilians AI Diploma | MCIT-backed projects: Python · SQL · ML · Deep Learning | 📦 Full Portfolio |
| 🏛️ Organization | 📌 Role | 📅 Duration |
|---|---|---|
| Digilians — MCIT Digital Pioneers | Applied AI & Data Analytics Trainee ▸ Building end-to-end ML pipelines & deployed AI applications |
Dec 2025 – Present |
| LEADUP (SDG 4 — Quality Education) | Founder & CEO ▸ Leading youth programs for 1000s of Egyptian students |
Dec 2022 – Present |
| Damanhour University | Teaching Assistant — Physics Department ▸ Taught Physics labs and data-driven experiments |
Sep 2022 – Jun 2023 |
| 🎓 Certificate | 🏢 Issuer | 📅 |
|---|---|---|
| IBM Data Science Professional Certificate (10 courses) | IBM / Coursera | 2025 |
| Google Data Analytics Professional Certificate | Google / Coursera | 2025 |
| Applied AI & Data Analytics Diploma | Digilians / MCIT | 2025–Present |
| Applied Statistics & Data Analysis | MTC — Dr. Noha Nabawy | March 2026 |
| McKinsey Forward Program | McKinsey & Company | 2025 |
| Aspire Leaders Program | Aspire Institute | Oct 2025 |
| 💼 Open To | 📩 Best Way to Reach | 🌍 Based In |
|---|---|---|
| Full-time · Freelance · Research | ghariebml@gmail.com | Alexandria, Egypt (Remote ✅) |
💬 "From Physics to AI — Extracting Insights, Deploying Solutions, and Building the Future with Data."