Summary
Jorge Díaz is a Senior Data Science Specialist and Ph.D. in Computer Science with 11 years of experience applying machine learning to real-world problems across industry and academia. Based in São Paulo, he currently leads data science initiatives at Samsung R&D while teaching data science at Ada Tech, blending applied research on data streams, concept drift and ensemble methods with production ML and MLOps. His background spans health-related big data, cloud-scale analytics, causal inference and recommendation systems, and he has delivered production models that reduced cloud costs and achieved sub-8% sales-forecast error. Comfortable moving between research and product teams, he often acts as a data consultant to translate complex statistical ideas into operational solutions. Notably, his work emphasizes concept-drift aware systems and ensemble approaches, making him adept at building resilient predictive models in dynamic environments.
11 years of coding experience
8 years of employment as a software developer
Doctoral Degree, Computer Science, Doctoral Degree, Computer Science at Federal University of Rio Grande do Sul
Bachelor's degree, Ingeniería de sistemas, Bachelor's degree, Ingeniería de sistemas at Universidad Nacional de San Agustin de Arequipa
English, Portuguese, Spanish