Computer Science graduate passionate about Artificial Intelligence, Data Analytics, Machine Learning, and building intelligent systems that solve real-world business problems through data-driven decisions.
GPA
Projects
Computer Science graduate from King Abdulaziz University (GPA 4.9/5) with First-Class Honors with Distinction. Passionate about Artificial Intelligence, Machine Learning, Data Analytics, and intelligent systems development. Experienced in building dashboards, analyzing large-scale datasets, and developing AI-powered solutions including financial auditing automation, predictive modeling, and operational analytics. Worked with real enterprise datasets and delivered AI-driven training programs at Petromin Corporation.
Senior capstone project at KAU. AI-powered auditing system automating reconciliation, VAT validation, duplicate detection, and OCR invoice matching. Tested on 500+ invoices with 96.6% matching accuracy and 0 VAT errors. Built as a full web application with authentication and live dashboards.
View on GitHubML classification system processing 7 datasets with 32K+ student records and 10M+ interaction logs. Applied SMOTE, feature engineering, and trained Random Forest (85%) and Logistic Regression (82%) models. Deployed as a real-time Streamlit prediction app with confidence scoring.
View on GitHubAnalyzed 5.8M+ flight records to identify delay causes, seasonal trends, airline performance, and airport efficiency. Built interactive Power BI dashboards supporting operational insights and scheduling optimization.
View on GitHubDesigned a university library SQL database with 10+ tables, 15+ relationships, ERD modeling, 3NF normalization, and advanced SQL queries using real sample data.
View on GitHubAnalyzed sales and revenue data to identify pricing trends and support data-driven business decisions. Monitored product performance and delivered actionable reporting to support operational planning.
Performed data cleaning, exploratory data analysis, and KPI reporting. Built interactive Power BI dashboards delivering insights to university stakeholders. Tools: Python, Power BI, Excel.
Delivered AI productivity and digital transformation training to 900+ employees across departments. Covered 50+ AI tools spanning writing, automation, and workflow optimization platforms.
Simplified complex technical and academic concepts using adaptive teaching methods for diverse learners. Topics include programming, data structures, algorithms, and mathematics.
Advanced deep learning training focused on CNN architectures, image preprocessing, convolutional layers, pooling, and AI model development for computer vision tasks.
National Talent Development Program covering machine learning fundamentals, AI concepts, predictive systems, and intelligent technologies through structured coursework.
KAUST Academy program covering Python fundamentals as AI prerequisites — powered by University of Michigan via Coursera. Completed all 5 courses with verified certificates.
Specialization covering the full mathematical foundation for ML and Data Science — taught by Luis Serrano via Coursera. Completed all 3 courses with verified certificates.
Completed the AI academic track at KAU covering core AI principles, machine learning models, data analysis methods, and applied AI problem-solving techniques.
Advanced programming track at KAU covering software engineering principles, algorithms, data structures, and problem-solving using modern programming paradigms.
Awarded the Certificate of Excellence for maintaining a GPA of 4.9/5 across 5 consecutive academic years (2021–2026) at the Faculty of Computing and Information Technology.