Jose Pablo Brenes Alfaro

Jose Pablo Brenes Alfaro has a diverse work experience in various roles. Jose Pablo started their career as an Intern Process Excellence at Stryker in May 2020 and worked until July 2020. In August 2020, they joined Golabs as a Professional Practice Computer Engineer and worked until December 2020. From February 2019 to December 2020, they served as a Lead and Investigative at DS Community. In February 2021, they started working as a Data Engineer at EX2 Outcoding and worked until September 2021. Currently, they are employed as a Data Engineer at Urbint, starting from September 2021. In this role, they develop automation and optimization tools using various ETLs and Kafka for SSoT. Additionally, they are responsible for leading and owning Emergency Response Data Processing using Airflow, Postgres, Vertex AI, and GCS.

Jose Pablo Brenes Alfaro completed their Bachelor's degree in Informatics Engineering from Tecnológico de Costa Rica from 2017 to 2021. In addition to their degree, they have obtained several certifications in various fields. Jose Pablo completed the following certifications:

- ETL and Data Pipelines with Shell, Airflow and Kafka from Coursera in February 2022.

- Introduction to Relational Databases (RDBMS) from Coursera in October 2021.

- Python Project for Data Engineering from Coursera in September 2021.

- Introduction to Data Engineering from Coursera in August 2021.

- Learning Kubernetes from LinkedIn in January 2021.

- Spark and Python for Big Data with PySpark from Udemy in November 2020.

- Fundamentals of Scalable Data Science from Coursera in October 2020.

- Introduction to EOSIO - Non-technical from Block.one in October 2020.

- Introduction to EOSIO - Technical from Block.one in October 2020.

- Scalable Machine Learning on Big Data using Apache Spark from Coursera in October 2020.

- What is Data Science? from Coursera in September 2020.

- Data Science Methodology from Coursera in August 2020.

- Convolutional Neural Networks in TensorFlow from Coursera in November 2019.

- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning from Coursera in August 2019.

- Curso completo de Machine Learning: Data Science en Python from Udemy in July 2019.

- Machine Learning from Coursera in April 2019.

- Intro to Python for Data Science Course from DataCamp in July 2018.

- R Programming from Coursera in July 2018.

- The Data Scientist's Toolbox from Coursera in May 2018.

- Fundamentos del análisis de datos para la toma de decisiones from Coursera in March 2018.

No additional information is available regarding their education history.