Kandidato profilis

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Įgūdžiai

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 Basic Math and Reasoning

Patirtis

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

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. Handled an academic dataset of 11,148 labeled ECG images and CSV labels, focusing on organized and accurate data processing. Contributed to image preprocessing, model evaluation, technical documentation, and generation of PDF reports with predicted classes and probability scores. Integrated a user interface for ECG uploads and result visualization, delivering a functional prototype for the biomedical informatics curriculum.

Išsilavinimas

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

Kalbos

Arabic

native

English

intermediate

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