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AI Engineer with 3+ years in data analytics, machine learning, and interactive dashboard development
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Computer Science graduate (GPA 4.9/5, First-Class Honors with Distinction) with hands-on experience in AI systems development, data analytics, and machine learning. Skilled in building intelligent systems, predictive modeling, feature engineering, and interactive dashboard development. Proven ability to analyze large-scale datasets, deploy ML models, and deliver actionable business insights using Python, SQL, and Power BI. Official member of the Saudi Council of Engineers.
King Abdul Aziz University
Bachelor of Science · Computer Science
August 1, 2021 – June 30, 2026
Al Saadah Gold & Silver
Business & Financial Data Assistant (Part-Time)
January 1, 2026 – April 1, 2026
India
Deanship of IT, King Abdulaziz University
Data Analytics & Data Science Intern
June 1, 2025 – August 1, 2025
India
Petromin Corporation
Digital Transformation Intern
June 1, 2025 – August 1, 2025
India
Bravo Me Educational Platform
Academic Explainer (Freelance)
January 1, 2024 – Present
India
Flight Delays Analysis & Interactive Dashboard
June 21, 2026 – Present
Analyzed 5.8M+ flight records; performed feature engineering and built Power BI dashboards to surface delay patterns and KPIs.
View ProjectUniversity Library Database Design
June 21, 2026 – Present
Designed a normalized SQL database with 10+ tables, 15+ relationships, ERD modeling, 3NF normalization, and advanced SQL queries.
View ProjectAuditAI
June 21, 2026 – Present
Built an AI auditing system automating VAT validation, duplicate detection, AR/AP reconciliation, and OCR invoice matching. Tested on 500+ real invoices with a 96.6% match rate and deployed as a full web application with dashboards and authentication.
View ProjectStudent Outcome Prediction
June 21, 2026 – Present
Built a machine learning model using 32K+ student records and 10M+ activity logs to predict student outcomes. Applied feature engineering and SMOTE balancing, achieving 85% accuracy with Random Forest, and deployed a real-time Streamlit prediction app.
View ProjectPower BI Data Analyst Learning Path – Microsoft Learn (3 Paths)
Microsoft Learn
June 1, 2026 – Present
Membership Credential ID: 1255174
Saudi Council of Engineers
June 1, 2026 – June 1, 2027
Advanced AI – CNNs & Computer Vision
KAUST Academy
February 1, 2026 – Present
Certificate of Excellence - GPA Honor for 5 consecutive academic years
King Abdul Aziz University
January 1, 2026 – Present
Introductory Artificial Intelligence (NTDP)
KAUST Academy
January 1, 2026 – Present
Academic Track Certificate - Advanced Programming
King Abdul Aziz University
January 1, 2026 – Present
Academic Track Certificate - Artificial Intelligence
King Abdul Aziz University
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong initiative and ability to apply theoretical knowledge to practical problems, which aligns well with an innovative culture. Their diverse experience, from data analysis internships to AI tool training and freelance explaining, indicates adaptability and a willingness to learn and contribute in various capacities. The high academic achievement and continuous pursuit of certifications suggest a strong drive for excellence and continuous improvement. The membership in the Saudi Council of Engineers also indicates a commitment to professional standards. The projects are primarily academic, which is expected for an entry-level candidate, but they demonstrate a solid foundation for growth into an AI Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, analytical thinking, and communication skills, as evidenced by their project descriptions and freelance academic explainer role. Their experience in training 900+ employees on AI tools suggests good interpersonal and presentation abilities. The volunteer experience as an Administrative Supervisor also points to leadership and teamwork potential. These soft skills are valuable for an AI Engineer role, especially in collaborative environments and when explaining complex technical concepts to non-technical stakeholders.