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Įgūdžiai

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

Patirtis

Academic Project – Automated Classification of ECG Images Using Deep Learning

New Mansoura University

2025-01 - 2026-06

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, performed image preprocessing, and evaluated deep‑learning models. Produced structured technical documentation, integrated a user interface for image upload, prediction display with probability scores, and generated downloadable PDF reports. Emphasized organized data handling and accurate result reporting.

Išsilavinimas

Bachelor's Degree in Biomedical Informatics, New Mansoura University, Egypt

Kalbos

Arabic

native

English

intermediate

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