As an Intern at CIMAT, I work with a team of experts to apply state-of-the-art deep learning and natural language processing (NLP) techniques to solve problems related to detecting major depression. I have a master's degree in computer science from CIMAT, focusing on industrial mathematics and data science, and a bachelor's degree in mathematics from Universidad de Guanajuato.My core skills include machine learning, data processing, data analysis, and Python programming. I am passionate about using mathematics and technology to create innovative solutions for real-world problems. I aspire to become a leading researcher in artificial intelligence and natural language processing.