Data Analyst | AI & Machine Learning | Python • SQL • Power BI
🎓 B.Sc. Computer Science @ King Abdulaziz University — GPA 4.9/5 | First-Class Honors with Distinction | 5 Years of Academic Excellence
🌐 Portfolio: madyanalammari.github.io
Computer Science professional with hands-on experience in data analytics, machine learning, and AI systems development. I focus on building systems that operate in complex, high-stakes environments — turning raw, messy data into intelligent, actionable outcomes.
- 🧾 Built AuditAI — an enterprise-grade AI auditing system tested on 500+ real invoices (96.6% match rate)
- 🎓 Advanced AI training at KAUST Academy — CNNs & Computer Vision (40 hrs)
- 📐 Completed Mathematics for ML & DS Specialization — DeepLearning.AI (Linear Algebra · Calculus · Probability & Stats)
- 🐍 Completed Python AI Prerequisites — KAUST Academy (5 courses · Jun 2026)
- 🤖 Passionate about anomaly detection, mission-critical AI, and deep learning
- 📊 Experienced with Power BI, Python, OCR pipelines, and ML deployment
| Category | Tools |
|---|---|
| Languages | Python · SQL · Java |
| Data & BI | Power BI · Pandas · NumPy · Excel · SQL Server · Google Colab |
| ML & AI | Scikit-learn · OpenCV · Streamlit · TensorFlow |
| AI Pipelines | OCR · Tesseract · pdfplumber |
| Platforms | GitHub · Supabase · VS Code |
Senior Capstone Project @ KAU. Intelligent financial auditing system automating VAT validation, AR/AP reconciliation, duplicate detection, and hybrid OCR invoice matching. Tested on 500+ real invoices — 96.6% match rate, 80/100 audit score, 0 VAT errors. Full web application with authentication, client management, and live dashboard.
Python OCR/Tesseract OpenCV pdfplumber Pandas Supabase Risk Scoring Anomaly Detection
Processed 7 datasets (32K+ records, 10M+ VLE logs). Engineered behavioral features, applied SMOTE for class balancing. Trained Random Forest (85%) and Logistic Regression (82%) with GridSearchCV. Deployed as real-time Streamlit app.
Python Scikit-learn Random Forest SMOTE GridSearchCV Streamlit Power BI
Analyzed 5.8M+ flight records to surface delay patterns, seasonal trends, and airline performance KPIs. Built interactive Power BI dashboards enabling data-driven scheduling decisions.
Python Pandas Power BI Feature Engineering EDA
Full relational database design for a university library system. Covers ER diagram, schema mapping, normalization to 3NF, SQL table creation scripts (10+ tables, 15+ relationships), and 5 advanced queries with real sample data.
SQL Server Oracle SQL ERD Normalization 3NF Database Design
| Certificate | Issuer | Courses Included | Date | Verify |
|---|---|---|---|---|
| 📐 Mathematics for ML & Data Science | DeepLearning.AI · Coursera | Linear Algebra · Calculus for ML · Probability & Statistics | Dec 2025 | View |
| 🐍 Prerequisite Courses of AI — Python Basics | KAUST Academy · Coursera | Python Basics · Functions & Files · Classes & OOP · Data Collection · Intro to Data Science | Jun 2026 | View |
| Course | Issuer | Date | Verify |
|---|---|---|---|
| Linear Algebra for ML & DS | DeepLearning.AI | Dec 2025 | View |
| Calculus for ML & DS | DeepLearning.AI | Nov 2024 | View |
| Probability & Statistics for ML & DS | DeepLearning.AI | Dec 2025 | View |
| Python Basics | University of Michigan | Nov 2024 | View |
| Python Functions, Files & Dictionaries | University of Michigan | Jun 2026 | View |
| Data Collection and Processing with Python | University of Michigan | Jun 2026 | View |
| Python Classes and Inheritance | University of Michigan | Jun 2026 | View |
| Introduction to Data Science in Python | University of Michigan | Jun 2026 | View |
| Certificate | Issuer | Date |
|---|---|---|
| 🏅 Advanced AI — CNNs & Computer Vision | KAUST Academy | Feb 2026 · 40 hrs |
| 🏅 Introductory AI — NTDP Program | KAUST Academy | Jan 2026 · 40 hrs |
| 🏅 Academic Track — Artificial Intelligence | King Abdulaziz University | Jan 2026 |
| 🏅 Academic Track — Advanced Programming | King Abdulaziz University | Jan 2026 |
| ⭐ Excellence Certificate — 5 Consecutive Years | King Abdulaziz University | 2021–2026 |
| Role | Company | Period |
|---|---|---|
| Business & Financial Data Assistant | Al Saadah Gold & Silver | Jan – Apr 2026 |
| Data Analytics & Data Science Intern | Deanship of IT · KAU | Jun – Aug 2025 |
| Digital Transformation Intern | Petromin Corporation | May – Jun 2025 |
| Academic Explainer (Freelance) | Bravo Me Platform | Jan 2024 – Present |
