Applied Research for Scalable, Human-Centric Intelligence
☕️Hi, I’m Mohamed, an independent applied data scientist with a focus on solving real-world problems using machine learning, forecasting, and data analysis. I publish my work through personal projects, case studies, and research reviews — covering topics like energy, economics, and business performance.
I work on AI tools that help people make better decisions: from forecasting systems and dashboards to AI-enhanced analytics. In 2024, I led the development for the AQSA project at Mansoura University, building tools to support startups with automatic analysis, forecasting, and chatbots.
B.Sc Statistics & Computer Science
Mansoura University
When we think about Olympic success, our minds often jump to economic powerhouses like the United States and China. But what happens when we look beyond the raw medal counts? This research dives into a more nuanced question: Which nations are truly punching above their economic weight in the Olympic arena?.
This project is part of the EVNTO app aimed at improving engagement for Mansoura University students by providing them with useful AI tools such as sentiment analysis, a chatbot, and a cold start recommendation system.
AQSA is a comprehensive AI-driven solution for startups and small businesses. We created AQSA with a goal to reach the gap between research and real-world applications. Our project contains three components; generative chatbot, automated data analyzer, and forecasting module. All with a goal to provide information, enhance decision-making, and foster innovation within the startup ecosystem.