Enrique Bonilla is a Data Scientist and Product Manager at Data-Pop Alliance. He has a BS in Applied Mathematics at Instituto Tecnológico Autónomo de México (ITAM) and an MSc in Data Science from The University of Edinburgh’s School of Informatics. He has working experience in multiple Machine Learning and statistics-related areas, such as market research, data cleaning, research and development, satellite image analysis, data ethics, and data engineering.
He has also participated as a speaker in multiple conferences and meetings, where he talked about work-related projects, ethics in data science, and personal projects such as music classification with Neural Networks.