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Įgūdžiai

Basic Computer Skills Accurate Data Entry File and Record Organization Healthcare Information Systems Concepts EHR/EMR Concepts Medical Terminology Healthcare Documentation Medical Records Concepts Healthcare Data Quality Microsoft Excel Microsoft Word PowerPoint Written Communication Team Collaboration Attention to Detail

Patirtis

Academic Project – Automated Classification of ECG Images Using Deep Learning Techniques

New Mansoura University

2025-01 - 2026-12

Collaborated in a four‑student team to develop a Python desktop prototype that classifies ECG images into four clinical categories. Managed a dataset of 11,148 labeled ECG images and CSV labels, ensuring organized and accurate data handling. Implemented image preprocessing, model evaluation, and generated structured technical documentation and PDF reports. Integrated a user interface for ECG uploads, prediction display with probability scores, and downloadable reports. The project demonstrated proficiency in Python, data processing, and documentation within a biomedical informatics context.

Išsilavinimas

Bachelor's Degree in Biomedical Informatics

Kalbos

Arabic

native

English

intermediate

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