About

David Álvarez Rosa is a proactive and hardworking Software Engineer at Amazon with a highly analytical mindset and a passion for learning and debating. He has a BSc in Mathematics and a BEng in Industrial Technology Engineering from UPC (BarcelonaTech), where he conducted research on machine learning for his senior bachelor's thesis at UofT. Currently, he is pursuing an MSc in Advanced Mathematics from UNED. David has experience working as a Machine Learning Engineer at Driverless UPC and as a Risk Analyst at Deloitte, where he conducted quantitative analysis of technological and cybersecurity risks for top-tier banking and insurance companies in Spain. He has identified, documented, and assessed information security risks, vulnerabilities, and improvement opportunities in the information technology environment. David has also designed and implemented data-driven risk management models in compliance with ISO standards, Deloitte IT policies, and information security regulatory requirements. In addition to his academic and professional background, David is a Member of Nova, a global community that connects high-potential individuals with the best professional opportunities. He is interested in applications of mathematics and engineering, particularly in software development, data science & analytics, machine learning, investment banking, quantitative finance, and business intelligence. David has a goal-oriented approach and the ability to motivate those who surround him to provide meaningful solutions for real problems. He is proficient in Software Engineering, Machine Learning, Data Science, and Research Science. David is a highly skilled and knowledgeable individual who is always eager to learn and expand his skill set. For more information, check out his personal website or contact him via LinkedIn or email.