Summary
Paul De Barros is an Analytics Principal Data Engineer with 11 years of experience applying statistical rigor to real-world problems, currently leading data engineering at CDPHP. Trained as a biostatistician with an MS from the University at Albany, he brings deep expertise in R, statistical modeling, forecasting, and experimental design coupled with production skills in SQL, Python, SAS, and Spark. His career blends hands-on analytics and education—having served as Chief Statistician and Math Department Chair—so he is equally comfortable translating complex models for technical teams and nontechnical stakeholders. Known for shifting from research-focused R work to scalable data engineering stacks, he emphasizes reproducibility, data governance, and operationalized predictive models. Based in Schenectady, he combines public-health–grade statistical training with pragmatic engineering to drive measurable business impact.
11 years of coding experience
13 years of employment as a software developer
CAS, School Psychology, CAS, School Psychology at University at Albany
CAS, Adolescent Mathematics Education, CAS, Adolescent Mathematics Education at The College of Saint Rose
Master's Degree, Biostatistics, Master's Degree, Biostatistics at University at Albany School of Public Health
English, Spanish