Becario at Agencia Nacional de Investigación y Desarrollo
Santiago Metropolitan Region, Chile
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Summary
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Daniel Saavedra is a Chile-based researcher and educator with nine years of experience at the intersection of statistics, engineering and applied AI, currently serving as a becario at the Agencia Nacional de Investigación y Desarrollo. He combines doctoral-level training in statistics and a magister in engineering with hands-on work in computer vision and data analysis, bringing strong mathematical and statistical foundations to practical problems. His background includes data analyst work for drone-based services and teaching roles in mathematics and physics, which sharpened his ability to communicate complex quantitative ideas clearly. Daniel has research experience in both academia and industry, including a short research stint at Telefónica and long-term academic support roles at Pontificia Universidad Católica de Chile. He stands out for blending pedagogy with technical research—translating advanced methods into teachable insights—and for focusing on vision problems where statistical rigor matters.
9 years of coding experience
Pedagogía en Educación Media, con mención Matemática, Pedagogía en Educación Media, con mención Matemática at Universidad Academia de Humanismo Cristiano
Doctorado, Statistics, Doctorado, Statistics at Pontificia Universidad Católica de Chile
Model Photovoltaic Fault Detector based in model detector YOLOv.3, this repository contains four detector model with their weights and the explanation of how to use these models.
Contributions:120 commits, 36 PRs, 107 pushes in 2 years 7 months
solar-energyyolo3faultphotovoltaicweights
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