Summary
Daniel Prol is a PhD student in Computer Science at the University of Houston with 11 years of multidisciplinary experience bridging data analytics, growth engineering, and technical account management across Europe and the U.S. He has a strong background in business analytics and big data, complemented by hands-on roles at companies like Glovo, Cabify, and IESE Business School where he translated product and marketing questions into measurable analytics and operational improvements. As a doctoral researcher and former teaching assistant, he blends rigorous research methods with practical experience deploying data-driven solutions and mentoring students. His career shows a pattern of moving between technical implementation and stakeholder-facing roles, making him effective at turning complex models into actionable business insight. Based in Houston but seasoned by international experience in Spain, Colombia, France, and Cambodia, he brings cross-cultural communication skills and a curious, entrepreneurial mindset to research and applied analytics.
11 years of coding experience
7 years of employment as a software developer
Focused Program Executing Digital Change: Data Agility and Continuous Innovation, Focused Program Executing Digital Change: Data Agility and Continuous Innovation at IESE Business School
Summer Course, Summer Course at Sheridan College
Summer Course, Summer Course at University of Chester
BA Communication and Media Studies, BA Communication and Media Studies at University of Navarra
UOC (Universitat Oberta de Catalunya)
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Houston
BS Computer Science, BS Computer Science at Universidad Internacional de La Rioja
English, Spanish