Brega Joel OthnielBrega Joel Othniel earned a Bachelor's degree in Mathematics with a concentration in Financial Engineering, where he developed a deep expertise in quantitative modeling, risk analysis, and computational finance. Driven by a passion for data-driven finance, he specializes in using machine learning to uncover hidden patterns in financial markets-turning raw numbers into predictive insights that inform investment strategies, risk management, and algorithmic trading. His interest in neural networks emerged as a powerful tool to model the non-linear, chaotic behavior of financial systems and real-world phenomena alike. With hands-on experience in R, Python, and time-series forecasting, Joel builds models that don't just predict-they explain. From forecasting AAPL stock movements with over 98 % accuracy to designing irrigation systems that save water in sub-Saharan farms, his work bridges theory and impact. Now stepping boldly into technical authorship, Joel uses writing as a platform to democratize advanced AI. Introduction to Neural Networks is his first book-a clear, code-first guide that equips readers to train their own models in minutes. This project reflects his core belief: complex tools should be accessible to all.