Daniel Hernandez is a seasoned Data Scientist at Tecdesa, where he spearheads innovative data-driven strategies to enhance operational efficiency and drive business growth. With over a decade of experience in machine learning and predictive analytics, Daniel has successfully led cross-functional teams to implement AI solutions that have increased revenue by 30% in the past year. He holds a Master's degree in Data Science from Stanford University and is known for his ability to transform complex data sets into actionable insights. Outside of work, Daniel is passionate about mentoring young professionals and is an avid advocate for diversity in tech.More...