Building intelligent systems that solve real-world problems — from deep learning for healthcare to production ML pipelines. Based in Cairo, Egypt.
I'm a Junior Data Scientist with 1+ year of professional experience designing, training, and deploying machine learning models across the full ML lifecycle. I graduated with a 3.69 GPA from Canadian International College as the second-highest ranked student in my Data Science major.
At SELECT, I built production-grade recommendation systems and time-series forecasting models for telecom networks — managing everything from data ingestion to model evaluation and reporting.
My research on deep learning for skin disease diagnosis has been published across four papers in Springer, IEEE, and Taylor — including a Best Paper Award at AISI 2024.
Completed mandatory national service.
4 published papers across Springer, IEEE, and Taylor
Mobile application for diagnosing skin diseases using a modified ResNet50 deep learning model. Integrates a hair removal preprocessing model to improve image quality before classification. Provides diagnostic reports and treatment suggestions.
End-to-end analytics platform scraping 25,000+ Cairo listings. Price prediction, overpricing detection, and market insights dashboard with MLflow tracking and Hugging Face deployment.
Predicted Falcon 9 first-stage landing success using classification models. Collected data via SpaceX API and web scraping, built interactive dashboards with Plotly Dash, and visualized launch patterns with Folium.
Open to data science roles, research collaborations, and interesting projects.
Feel free to reach out if you're looking for a data scientist, have a collaboration idea, or just want to connect.