Egaila, Ahmadi, Kuwait
I am a PhD mathematician and data science enthusiast with deep expertise in advanced mathematics, computational modeling, and innovative teaching. My academic background covers pure mathematics, especially Riemannian geometry and topology. In recent years, I have focused my research and publication efforts on Python-driven data science and machine learning, developing practical models for financial forecasting and cryptocurrency prediction. Currently, I publish peer-reviewed research combining mathematics, machine learning algorithms, and solutions for real-world challenges. My work includes hybrid Monte Carlo and Random Forest frameworks for finance, and novel strategies for price forecasting in digital assets using both technical analysis and machine learning. I have strong experience guiding students, designing mathematical assessment content, and leading academic initiatives in student progress and development. My technical skills include Python, MATLAB, LaTeX, and Moodle. I enjoy connecting mathematical theory with modern data-driven approaches, helping students and collaborators solve complex problems with clarity and precision.