Amro Ghoneim is a data scientist with 8 years of experience building ML-driven products across fintech and enterprise environments, now working as a Senior Associate in Data Science at PwC Middle East. He progressed from internships in telecommunications and engineering to hands-on roles at Cassbana and Paymob, where he translated transactional and credit data into production-ready models for payments and lending. Holding an MS in Computer Science with a machine learning specialization from Georgia Tech and a Udacity Data Science Nanodegree, he blends strong academic foundations with practical deployment experience. Based in Cairo, he pairs coding fluency with a love of sports and curiosity-driven side projects shared on Medium and GitHub. Colleagues rely on him for pragmatic model engineering that balances predictive performance with operational constraints in regulated domains.
8 years of coding experience
4 years of employment as a software developer
High School Diploma, Honors, High School Diploma, Honors at The International School of Choueifat - Cairo
Master of Science - MS, Computer Science | Machine Learning Specialization, Master of Science - MS, Computer Science | Machine Learning Specialization at Georgia Institute of Technology
Data Science NanoDegree, Data Science, Data Science NanoDegree, Data Science at Udacity
Bachelor of Science - BS, Computer Engineering, Honors, Bachelor of Science - BS, Computer Engineering, Honors at The American University in Cairo
Contributions:2 PRs, 5 pushes, 3 branches in 1 year 2 months
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