Marwan Jemal
Canterbury,Keny
Summary
Graduate Computer Scientist (BSc 2:1) with a robust foundation in full-stack development and data-driven problem-solving. Technically proficient in React, Node.js, and Python, with hands-on experience building responsive web applications and machine learning models. Proven ability to bridge the gap between technical tools and business needs through experience in web management (WordPress/CRM) and team leadership. Eager to apply analytical thinking and modern frontend frameworks to deliver high-quality software solutions in a professional environment.
Overview
8
8
years of professional experience
Work history
Sales and marketing executive
LanguageUK Canterbury
Canterbury, Kent
06.2022 - 10.2025
- Web Administration: Maintained and updated company website using WordPress, gaining hands-on experience with CMS platforms.
- Systems Optimization: Improved internal efficiency by streamlining admissions process using CRM systems, demonstrating strong data organization.
- Stakeholder Management: Built and managed relationships with 20+ international education agents.
Assistant manager
Olive Grove Restaurant
Canterbury, Kent
03.2018 - 06.2022
- Operational Leadership: Managed daily operations and team of 10+ staff, ensuring high levels of customer satisfaction.
- Problem Solving: Applied analytical thinking to resolve staffing, scheduling, and operational issues in fast-paced environment.
Education
Bachelor of Science - Computer Science
Canterbury Christ Church University
Canterbury 06.2023
Skills
- Languages: JavaScript (ES6), Python, SQL, HTML5, CSS3
- Frontend: Reactjs, Bootstrap, Webflow
- Backend: Nodejs, Expressjs, MongoDB
- Data & Testing: Pandas, Scikit-learn, Matplotlib, Jestjs
- Tools: GitHub, VS Code, CRM Systems, WordPress
Accomplishments
- Architected a responsive web application using the MERN stack (MongoDB, Express.js, React.js, and Node.js).
- Developed a dynamic frontend with React.js to ensure a seamless user experience across devices.
- Built a secure backend API to handle data persistence and management within a MongoDB database.
- Engineered a predictive data pipeline using Python and Scikit-learn to identify key health risk factors.
- Utilized Pandas for data manipulation and Matplotlib to generate comprehensive visualizations of health trends.
- Developed a machine learning model to accurately classify iris species based on morphological measurements
Accommodation Management System (Full-Stack)
South African Heart Disease Analysis
Iris Flower Classification
Timeline
Sales and marketing executive
LanguageUK Canterbury
06.2022 - 10.2025
Assistant manager
Olive Grove Restaurant
03.2018 - 06.2022
Bachelor of Science - Computer Science
Canterbury Christ Church University