Daniel Legorreta is a skilled mathematician and analytical consultant with over 8 years of experience in statistical modeling, machine learning, deep learning, and Big Data technologies. He has worked as an Independent Consultant and Freelancer on various projects, as well as for international financial institutions and consultancies. Daniel has exceptional competencies in implementing supervised and unsupervised models, developing statistical models, processing data in distribution systems, and NLP application techniques. He is also an excellent trainer in data analysis techniques and machine learning utilizing various technologies.

At Institute Politecnico Nacional, Daniel studied Licenciado en Fisica y Matematicas, focusing on theoretical physics and mathematics. He has since worked in several organizations, including ISBAN - Grupo Santander, where he served as a Data Scientist and Big Data Consultant, and Ces, where he worked as an Information Technology Consultant. Daniel has also provided his services as a Competitions Contributor in Kaggle, an Assistant Researcher at Cinvesta Math and Complex Systems Lab UPIITA - IPN, and a Senior Consulting Analyst at Battersea Consulting.

Some of his areas of interest include creating statistical models, processing data in distribution systems, NLP application techniques, and visualizations. Thus, Daniel is an enthusiastic and passionate professional continually seeking new challenges.