Summary
David Perlaza is a data scientist with 12 years of cross-disciplinary experience applying statistics, software engineering, and education theory to real-world problems. Currently at Lucu, he translates complex data into actionable products, building on earlier roles that bridged human-performance modeling at Aptima and student-success analytics at UCF. He holds MS degrees in Statistics and Mathematics Education and a BS in Mathematics and Computer Science, enabling a rare blend of rigorous quantitative methods and pedagogical insight. His background as an instructor and teacher informs a user-focused approach to analytics and model interpretation, ensuring stakeholders understand and trust results. Comfortable moving models from research into production, he excels at turning multidisciplinary perspectives into robust, maintainable systems. Based in Orlando, he combines academic rigor with practical engineering to tackle retention, performance prediction, and applied analytics challenges.
12 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at University of Central Florida
English, Spanish, French