David Ricardo Valencia Díaz

David Ricardo Valencia Díaz has worked in various roles since 2014. David Ricardo was a Professor of Cátedra at the Universidad de Antioquia from 2014 to 2016. In 2017, they were an Auxiliar en Programación for the project "Migración sísmica pre-apilado en profundidad por extrapolación del campo de onda utilizando computación de alto desempeño para datos masivos en zonas complejas" between Ecopetrol and the Universidad de Antioquia. David Ricardo was also an Analista Datamining at iDATA® - inteligencia analítica de clientes from 2018 to 2019. In 2019, they became a Machine Learning Engineer in Training at the Lacuna AI Fellowship and a Machine Learning Engineer at Factored.

David Ricardo Valencia Díaz obtained a Bachelor of Science (B.Sc.) in Physics, Cosmology, and Astrophysics from Universidad de Antioquia between 2008 and 2014. David Ricardo then went on to obtain a Master of Science (M.Sc.) in Physics from the same university in 2018. In 2019, they completed a Bootcamper - Machine Learning Engineer program at the Lacuna AI Fellowship - AI Fund. David Ricardo also obtained certifications in Astronomer Certification DAG Authoring for Apache Airflow, Astronomer Certification for Apache Airflow Fundamentals, Data Engineering Nanodegree, Convolutional Neural Networks in TensorFlow, Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, Natural Language Processing in TensorFlow, Scala and spark for big data and machine learning, Sequence Models, Neural Networks and Deep Learning, Data Analysis in R, the data.table Way Course, Importing Data in R (Part 1) Course, Importing Data in Python (Part 1) Course, Importing Data in Python (Part 2) Course, Introduction to Git for Data Science Course, Introduction to R Course, Joining Data in PostgreSQL Course, Python Data Science Toolbox (Part 2) Course, Intermediate Python for Data Science Course, Intro to Python for Data Science Course, and Intro to SQL for Data Science Course from various institutions such as Astronomer, Udacity, Coursera, and DataCamp between 2018 and 2022.