Gonzalo García Queijo
About Gonzalo García Queijo
Gonzalo García Queijo is a Professional Functional Analyst with extensive international experience in Austria, Germany, and Belarus. He has worked in various roles across multiple companies, specializing in data science and deep learning, and currently focuses on developing intelligent systems at Erni in Switzerland.
Work at ERNI
Gonzalo García Queijo has been employed at ERNI as a Professional Functional Analyst since 2017. In this role, he is responsible for maintaining the backlog as part of his Scrum responsibilities. His work involves the functional design of a monitoring tool and database specifically for 3D printing devices. He has contributed to various projects, leveraging his expertise in data science and deep learning.
International Experience
Gonzalo has gained international experience by working in several countries, including Austria, Germany, and Belarus. This exposure has allowed him to develop a diverse skill set and adapt to different work environments. His previous roles in various European countries have enriched his professional background and broadened his understanding of international business practices.
Previous Employment History
Before joining ERNI, Gonzalo held several positions in different organizations. He worked at Altran as a Project Assistant in Airbag Electronics - Seat from 2015 to 2017 in France. Prior to that, he was a SAP Human Resources Consultant at Nga Human Resources from 2008 to 2010 in the United Kingdom. He also served as a Software Engineer at Technica Engineering GmbH from 2012 to 2014 in Bayern, Bavaria, Germany, and worked as a Wamas Software Technician in Logistics at Ssi Schäfer from 2010 to 2011 in Germany.
Education and Expertise
Gonzalo studied Software Engineering at Hochschule Stralsund for one year from 2007 to 2008. He also holds a Master's degree in Computer Science from Universidad De Sevilla, which he completed from 2001 to 2008. His educational background supports his specialization in data science and deep learning, focusing on the development of intelligent systems.
Technical Skills and Technologies
In his current role, Gonzalo utilizes a variety of technologies, including ETL, Regex, Python, plotly, numpy, pandas, AWS Redshift, Git, and Apache Parquet. He works with the ELK stack for data sampling and filtering and engages in big data analysis for predictive maintenance. His technical skills enable him to effectively analyze and manage complex data sets.