González-Olivares, Daniel

PhD in Financial Sciences with a strong focus on strategic financial planning and decision-making supported by Artificial Intelligence. My professional profile is hybrid, combining academic rigor, applied research, and consulting-oriented financial analysis. I specialize in designing and implementing predictive financial models, intelligent forecasting systems, and scenario-based planning tools that support managerial and executive decision-making under uncertainty. My work bridges the gap between traditional financial planning frameworks and modern data-driven approaches, integrating machine learning, financial modeling, and strategic analysis to improve budgeting, forecasting, and long-term financial sustainability. As a university professor and researcher, I develop and teach courses in financial planning, corporate finance, and AI applied to finance, while leading applied research projects with real-world financial data. My academic work emphasizes practical relevance, interpretability of models, and ethical use of AI in financial decision-making. In parallel, I collaborate with organizations through strategic financial advisory, executive training, and consulting projects, helping firms enhance their planning processes, improve financial foresight, and strengthen decision quality.