Hamza is a highly motivated Computer Science student with a strong focus on artificial intelligence, machine learning, and software development. Before transferring to DePauw University in the U.S., Hamza began his academic journey at Universidad Complutense de Madrid, where he gained valuable international experience and developed skills in critical areas such as software engineering, databases, and networking. His time in Madrid not only provided him with a deep understanding of computer systems and object-oriented programming but also helped him cultivate strong interpersonal and cross-cultural communication skills, essential for effective collaboration in diverse environments. This unique combination of technical expertise and interpersonal abilities has since been reinforced by his studies at DePauw, allowing Hamza to build a solid foundation in programming, data science, and algorithmic thinking.Hamza is deeply passionate about sports analytics, particularly in using data-driven methods to enhance predictive accuracy in match outcomes and performance analysis. Through his work in developing predictive models for soccer, he has gained valuable insights into how environmental and performance variables interact to influence match results. His enthusiasm for combining sports and data fuels his drive to explore innovative ways to use AI and machine learning in the sports industry.In addition to his technical expertise in Python, Java, C++, and other programming languages, Hamza is fluent in English, Spanish, French, and Arabic. He continually seeks opportunities to expand his expertise and contribute to cutting-edge technological advancements.