Carlos Ricardo Collazos García

Machine Learning Engineer at Resquared

Carlos Ricardo Collazos García has a diverse work experience. In 2009, they began working at EMPRESA DE ENERGIA DE CUNDINAMARCA as a Professional and remained in this role until 2015. In 2017, they joined Black Swan Data as a Data Science Associate, where they worked until 2019. Following this, from 2019 to 2020, they worked at Asesoftware as a Data Scientist, where they focused on data science model proposal, development, and adjustment. In 2021, they worked at Mercado Libre as a Ssr Data Scientist until June, and then joined BIG BANG DATA as a Data Scientist until April 2022. Currently, they are serving as a Machine Learning Engineer at Resquared, starting in April 2022.

Carlos Ricardo Collazos García completed their education in the following manner:

From 2003 to 2009, Carlos studied Electrical and Electronics Engineering at the Universidad Nacional de Colombia, earning a degree in Electrical Engineering.

From 2015 to 2017, they pursued a Master of Science (MSc) in Computer Science at the University of Szeged.

Carlos also obtained several additional certifications, including:

- Graduated with Honors from DS4A / Colombia 6.0 program by Correlation One in July 2022.

- Completed the Data Science for All - Colombia program by Data Science for All by Correlation One in July 2022.

- Completed the Programa Especializado - Deep Learning from Coursera in December 2019.

- Completed several Coursera courses, including Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Neural Networks and Deep Learning, Structuring Machine Learning Projects, and Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. These courses were completed in November 2019.

- Completed the Intro to Python for Data Science course from DataCamp in May 2017.

- Completed the Machine Learning course from Coursera in January 2014.

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Previous companies

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Timeline

  • Machine Learning Engineer

    April, 2022 - present

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