Muhannad Aljaddawi

Jeddah,Saudi Arabia

Summary

A highly skilled professional with expertise in programming languages such as Java, Python, C#, and Javascript. Demonstrates strong problem-solving abilities, effective communication skills, and a collaborative approach to teamwork. Adept at time management, critical thinking, and analytical skills. Familiar with basic networking concepts, computer hardware knowledge, cybersecurity fundamentals, MIPS, Packet Tracer, and Microsoft Office. Utilises tools like GitHub, Intellij, and Jupyter to enhance productivity.

Overview

years of post-secondary education

Certification

Work History

DevOps Trainee

Saudi Aramco

Dammam, Eastern Province

06.2024 - 08.2024

Developed a machine learning regression model to predict phosphate levels using Python, scikit-learn, and DataRobot AutoML.
Visualized model performance using learning curves, residual plots, Q-Q plots, and actual vs. predicted plots.
Attempted model deployment on DataRobot, troubleshooting ConnectionError issues related to network restrictions.
Applied Docker containerization basics, ensuring consistency across development.
Containerized a Node.js webpage using Express.js, creating a Dockerfile and managing the build and run containers.

Education

Bachelor's degree - Computer Science

King Abdulaziz University

Jeddah, Mecca Region

08.2019 - 08.2024

Skills

Technical Skills:
o Programming Languages: Java, Python, C#, Javascript
o Database Management: MySQL
o Web Development: HTML, CSS, PHP, Javascript
o Microsoft Office Proficiency
Soft Skills:
o Problem-Solving
o Team Collaboration
o Continuous Learning
o Critical Thinking
o Adaptability

Tools:
o GitHub
o Intellij
o NetBeans
o Jupyter

Projects and Relevant Experience

Cyber Threat Detection Using Artificial Intelligence (Graduation Project)
Python: Tensorflow, Scikit-Learn, Pandas, Jupyter

Trained +1 million records dataset of network logs and packets.
Classified packets as threats or safe using machine learning and deep learning techniques.
Conducted complex analysis to maintain high performance.
Achieved 99% accuracy with a high true rate and low false rate.

Calendary - Task Management & Feedback Website

Javascript, HTML, CSS, PHP, XAMPP

Designed a relational database using MySQL with multiple tables (tasks, task lists, and feedback)
Developed interactive front-end interfaces with HTML and CSS.
Programmed back-end functionality in PHP to handle CRUD operations.
Utilized XAMPP as a local development environment to test the website.
Enhanced security by implementing prepared statements and proper input validation to protect against SQL injection.

Certification

Google Cybersecurity Professional Certificate (In Progress)
Coursera – Expected completion: [May 2025]
Python Basics: University Of Michigan - Coursera (Jan 2025)
Legacy JavaScript Algorithms and Data Structures - freeCodeCamp (Sep 2022)

Languages

Arabic

Native

English

Advanced

Timeline