BAYAN ALHASSAN

Dhahran,Saudi Arabia

Summary

Versatile software developer with expertise in programming languages including Python, Java, JavaScript, and C++. Proficient in web development using React, Node.js, HTML, CSS, and Tailwind CSS. Skilled in database management with MySQL and MongoDB, alongside data analytics using Excel and Power BI. Adept at applying AHP optimisation techniques to enhance decision-making processes. Committed to leveraging technical skills to drive innovation and efficiency in software solutions.

Work history

IPAS Support Intern

Saudi Aramco

Dhahran, Saudi Arabia

2025.06 - 2025.08

Coordinated project tasks to meet assignment deadlines on time.
Linked with department heads to improve daily workflow coordination.
Handled sensitive data confidentially to maintain privacy standards.
Simplified office procedures to raise productivity across daily operations.

IPAS Support Intern

Saudi Aramco

, Saudi Arabia

2025.06 - 2025.08

Provided technical support for internal IPAS users by diagnosing and resolving user access, application, and system-related issues.
Assisted in maintaining enterprise applications and ensuring reliable day-to-day system operations.
Worked with internal support teams to investigate and resolve incidents using organizational support and ticketing procedures.
Documented recurring issues, troubleshooting procedures, and support workflows to enhance knowledge sharing and streamline future issue resolution.
Streamlined office procedures for increased productivity,.

Education

Bachelor of Science - Computer Science (Decision Analytics)

King Fahd University of Petroleum & Minerals (KFUPM)

Saudi Arabia

Skills

Programming languages: Python, Java, JavaScript, C
Web development: React, Nodejs, HTML, CSS, Tailwind CSS

Database management: MySQL, MongoDB
Data analytics: Excel, Power BI, AHP optimization techniques

LANGUAGES

Arabic

Native

English

Fluent

PROJECTS

Intelligent University Recommendation Platform: Built a decision-support system using AHP and multi-criteria decision analysis to rank universities, enabling structured comparison across multiple constraints and improving decision transparency for users., Multi-Criteria Decision Analytics Framework: Applied AHP and optimization techniques to evaluate alternatives under constraints and perform sensitivity analysis for decision insights., AI-Powered Pipeline Integrity & Risk Prediction System: Developed machine learning models for pipeline failure prediction using sensor data, improving maintenance planning and reducing unnecessary inspection frequency., Personalized Fitness & Nutrition Management Platform: Built a role-based web app for trainees and trainers with workout plans, progress tracking, and community features.

Timeline

IPAS Support Intern

Saudi Aramco

2025.06 - 2025.08

IPAS Support Intern

Saudi Aramco

2025.06 - 2025.08

Bachelor of Science - Computer Science (Decision Analytics)

King Fahd University of Petroleum & Minerals (KFUPM)