Oscar Peredo
Subgerente Big Data Y Modelamiento
Chile
Summary
👤
Senior🎓
Top SchoolOscar Peredo is a Big Data and modeling leader with 10 years of experience applying high-performance computing, statistical modeling and machine learning to industrial-scale problems across telecom, mining and smart cities. Currently Subgerente Big Data y Modelamiento at Claro Chile, he leads data science and engineering teams delivering production-ready models and data platforms for large customer bases. His background combines a PhD in computer architecture and supercomputing with hands-on work in probabilistic geo-location, demand estimation from mobile data, geostatistics and commodity trading algorithms. He is comfortable bridging research and product: accelerating geo-statistical codes in HPC contexts, deploying deep learning for passenger estimation, and translating privacy-aware data monetization into operational pipelines. Colleagues value his blend of rigorous mathematical training and pragmatic engineering that consistently moves complex analytics from prototype to scale. Based in Chile, he still pursues algorithmic and PhD-level HPC challenges alongside guiding enterprise analytics.
11 years of coding experience
15 years of employment as a software developer
Mathematical Engineer, Mathematics and Computer Science, Mathematical Engineer, Mathematics and Computer Science at Universidad de ChileUPC Universitat Politècnica de Catalunya
English, SpanishGithub contributions (5)
operedo/gslib-alges
Sep 2015 - Sep 2015
Contributions:11 commits, 15 pushes, 1 branch in 18 days
operedo/sgsim-levels
Apr 2017 - Sep 2017
Contributions:4 commits, 8 pushes, 1 branch in 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.