Rasha Mohamed Hagag
Computer Science Demonstrator , Data Science Researcher
Elseka Elgededa, Menouf Menoufia Governorate
01004754167
rashahagag95@gmail.com
707781314_2195316721255300_1578516561180073871_n

Who am I !

I am a Computer Science Demonstrator at Menoufia University and a passionate researcher specializing in Medical Data Science and AI-driven healthcare solutions. My current M.Sc. research focuses on leveraging Machine Learning pipelines for Arrhythmia Classification to improve cardiac diagnostics. With over 4 years of experience in academic teaching and mentoring future computer scientists, I also actively advocate for digital transformation and sustainability. As a certified Sustainable Development Trainer, I bridge the gap between advanced technology and impactful community development.

Education

Current
M.Sc. in Medical Data Science
Menoufia University
2021
Pre-Master in Computer Science
Menoufia University
2018
B.Sc. in Mathematics and Computer Science
Menoufia University

Professional Experience

Computer Science Demonstrator
Faculty of Science, Menoufia University
2021
Present
Computer Science Demonstrator
Modern Academy for Computer Science
2018
2020

Courses

Certified Sustainable Development Trainer
Ministry of Planning and International Cooperation & National Institute for Governance and Sustainable Development
2025
Modern AI
Cisco Networking Academy
2025
"Be an Ambassador for Sustainable Development" Program
Ministry of Planning and Economic Development
2024
Introduction to Data Science
DataCamp
2025
Women Lead in the Egyptian Governorates
National Training Academy (NTA)
2023
Microsoft Certified Educator
Microsoft
2021

Technical Skills

Machine Learning & Deep Learning
Medical Data Science & AI
Data Analysis & Visualization
Python Programming
C# Programming
SQL & Database Management

Soft Skills

Public Speaking & Presentation
Leadership & Team Management
Effective Communication
Mentoring & Academic Support
Problem Solving
Time Management & Organization

Languages

Arabic
English

Publications

Arrhythmia Classification: A Pipeline-Based Comprehensive Survey
International Journal of Computers and Information (IJCI)
2024