Isaac Hernandez Cedeño

Isaac Hernandez Cedeño, Ph.D., is a seasoned professional in data science and energy engineering with extensive experience in leading teams and consulting across various industries. Currently serving as a Data Science Sr Consultant at NEORIS, Isaac specializes in adapting machine learning models for Google Cloud Platform and leading a team of over 10 developers. Previous roles include impactful contributions to Reckitt Benckiser, where Isaac achieved high forecasting accuracies for essential products, and various academic positions at Facultad de Ingeniería de la UNAM, where teaching focuses on data science and machine learning. Isaac also served as a Marketing Data Scientist at Grupo Modelo and a Data Science & Sustainability Consultant for Global Factor, enhancing project assessments to align with UN Sustainable Development Goals. Isaac holds a Ph.D. in Energy Engineering, alongside a Master’s and Bachelor’s in relevant fields from the same institution.