Ahmed Gaber

I’m a Data Scientist specialized in ML pipelines and deep learning, with a strong focus on model optimization and efficiency. I build end-to-end predictive systems—like a Jet Engine RUL predictor—using MLOps tools such as Git LFS and Streamlit.

I combine a solid mathematical foundation with hands-on experience across complex, high-dimensional datasets. My work spans developing predictive models, deploying interactive analytics, and managing large model assets for reproducibility and smooth delivery.

Beyond technical projects, I’ve led technical operations as Branch Chair & IT & Operations Coordinator for the IEEE NUB Student Branch—driving chapter strategy, improving internal tooling for collaboration, and supporting workshops and competitions. I’m motivated by clear outcomes, reliable pipelines, and models that perform in real workflows.