Omar Mohamed
Data Scientist
Egypt
Summary
👤
Senior🎓
Top SchoolOmar Mohamed is a data scientist with 12 years of hands-on experience building machine learning and analytics solutions across startups and research settings. He currently leads initiatives at Cartona developing customer segmentation, recommendation systems, and chatbots, and previously engineered video-based performance evaluation models as a senior ML engineer in sports tech. His background spans full-stack software development, image processing research (including defect and cancer detection), and interactive game design, reflecting a rare blend of production ML and creative engineering. A lifelong learner pursuing a master's at Cairo University, he stays engaged with the latest research and online courses to continuously translate new methods into practical products.
12 years of coding experience
5 years of employment as a software developer
Graduate, Mathematics and Computer Science, 94.7%, Graduate, Mathematics and Computer Science, 94.7% at AL-Tabari high schoolBachelor’s Degree, Computer Science, 70%, Bachelor’s Degree, Computer Science, 70% at Ain Shams UniversityMaster's degree, Computer Science, 90%, Master's degree, Computer Science, 90% at Cairo University
English, Arabic
Github Skills (41)
recurrent-neural-networks10
radiology10
transfer-learning10
report-generator10
pytorch-lightning9
segmentation9
medicine9
medical-imaging9
classification8
deep-learning8
preprocessing8
image-classification7
transformers7
pytorch7
machine-learning7
Programming languages (5)
Github contributions (5)
omar-mohamed/Chest-X-Ray-Tags-Classification
Oct 2019 - Oct 2021
This is the implementation of the visual model mentioned in our paper 'Automated Radiology Report Generation using Conditioned Transformers'.
Contributions:42 commits, 42 pushes, 1 branch in 2 years
pytorchtransformerschest-xray-imageschexnetdeep-learning
omar-mohamed/OnlineJudges-solutions
Apr 2014 - Jun 2016
Contributions:20 commits, 11 pushes in 2 years 2 months
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