Summary
Christian Taborda is a data scientist with nine years of experience applying statistical and machine learning methods to genomic and operational datasets, currently driving clinical analytics at Baylor Genetics. He blends hands-on expertise in R and Python with production-focused tools—R Shiny, MySQL, GitHub, and AWS—to build reproducible pipelines, interactive apps, and predictive models that improved classification sensitivity and operational efficiency. His background in petroleum engineering and systems engineering gives him a pragmatic, process-oriented approach to data problems, evidenced by automations that cut compute time on massive files and redesigned scalable data delivery. A certified SAFe Scrum practitioner and recognized team leader, he regularly partners with stakeholders to translate clinical requirements into validated analytics and internal process improvements. Notably, he has applied graph-based clustering and integration of genomic and phenotypic data to reveal variant–disease associations used in clinical research.
9 years of coding experience
2 years of employment as a software developer
Petroleum engineer, Msc Data Analytics, 3,2 / 4.00, Petroleum engineer, Msc Data Analytics, 3,2 / 4.00 at Universidad Industrial de Santander
Master in data analytics, Master in data analytics at University of Houston-Downtown
English, Spanish, French