Summary
Abdelrhman Elmoghazy is a Senior Data Scientist with nine years of experience turning complex data into measurable business impact across industries, currently leading analytics at Fertiglobe. He blends strong academic credentials—a 4.3/4.3 MSc in Data Science & AI from Queen’s—with hands-on production work in predictive modeling, time-series forecasting, and GenAI chatbots using RAG. His career spans enterprise roles at Henkel and startups like Fatura, where he guided projects end-to-end from requirements to deployment and mentored teams to adopt data-driven practices. Abdelrhman is also a practiced educator—having led Udacity cohorts and university ML communities—so he pairs technical delivery with a talent for building AI literacy. Recognized with Henkel GBS+ Scholar Excellence Award 2024, he favors pragmatic solutions that prioritize business value over academic novelty. Colleagues describe him as someone who consistently converts research-grade models into reliable, team-friendly tools.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science and engineering, Bachelor's degree, Computer Science and engineering at The German University in Cairo
Advanced Data Analysis Nanodegree, Advanced Data Analysis Nanodegree at Udacity
Master's degree, Data Science and Artificial Intelligence, 4.3/4.3, Master's degree, Data Science and Artificial Intelligence, 4.3/4.3 at Queen's University
English, Arabic, French, German