Abdullah Bahi is a data scientist with six years of experience blending machine learning, quantitative modeling, and practical analytics to inform business and investment decisions. He has translated data science into portfolio performance as a hands-on portfolio manager and now focuses on AI-driven automated trading and algorithmic R&D. His background spans end-to-end data engineering, ML Ops, and production analytics across industries—from ad recommendation and network optimization to sales and inventory automation. A strong Python developer and algorithmic trading engineer, he routinely builds robust pipelines and deployable models that move beyond descriptive insights to executable strategies. Based in Cairo with an electronics and communication engineering foundation, he brings both engineering rigor and market-aware quantitative intuition to complex financial and operational problems.
6 years of coding experience
4 years of employment as a software developer
Bachelor's degree Electronics and Communication Engineering, Bachelor's degree Electronics and Communication Engineering at Faculty of Engineering - Fayoum University
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