Daniel Saavedra

Becario at Agencia Nacional de Investigación y Desarrollo

Santiago Metropolitan Region, Chile
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Summary

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Senior
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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.
code9 years of coding experience
bookPedagogía en Educación Media, con mención Matemática, Pedagogía en Educación Media, con mención Matemática at Universidad Academia de Humanismo Cristiano
bookDoctorado, Statistics, Doctorado, Statistics at Pontificia Universidad Católica de Chile
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Github Skills (17)

detector10
keras10
solar-energy10
object-detection10
fault10
photovoltaic10
computer-vision9
tensorflow9
deep-learning9
detectors8
keras-models7
multibox7
machine-learning-algorithms6
yolov55
ray4

Programming languages (3)

Jupyter NotebookRubyPython

Github contributions (5)

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dlsaavedra/Detector_GDXray

Mar 2020 - Apr 2020

This repository contains 4 detectors for use in the detection of dangerous elements in X-.ray images
Contributions:31 commits, 25 pushes, 1 branch in 1 month
x-ray-imagesrayelementsdetectorsdangerous
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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