Summary
Diego Saldana is a Senior Data Scientist based in New York with a decade of experience building statistical and big-data driven products for customer-facing applications. He pairs a PhD in Statistics from Columbia with hands-on expertise in network analysis, topic modeling, NLP, and clustering to productionize audience segmentation and document retrieval systems. Diego has repeatedly designed data science pipelines and architectures that translate research methods into scalable end-user features across companies like Tapad, TextNow, and Demandbase. His background spans academia and industry, giving him strength in rigorous inference as well as pragmatic engineering for product timelines. Notably, he has moved beyond model proof-of-concepts to operationalize pipelines that power real-time personalization and retrieval at scale.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at Columbia University
Bachelor of Science (B.Sc.) Applied Mathematics, Bachelor of Science (B.Sc.) Applied Mathematics at Instituto Tecnol贸gico Aut贸nomo de M茅xico
Spanish, English, French