Alberto Ortega Socorro

Software engineer at Merlyn Mind

Alberto Ortega Socorro has a diverse work experience in the software engineering field. Alberto is currently working at Merlyn Mind as a Software Engineer. Prior to that, they worked at GMV as a Technical Lead in Software Product Development for Intelligent Transportation Systems. Their responsibilities included technical leadership of the Agile team developing a suite of software products for public transportation systems. Alberto also worked at Huawei Technologies as a Master Architect, and at Ericsson as a Java Lead Developer. At Ericsson, they were involved in the development of a real-time event monitoring system and the Sync Node use case. Before that, they worked at GMV in various roles, including Software Architect and Software Engineer. Alberto played a key role in developing a geographically redundant platform for a telco operator and led several development projects for telecommunications operators. Overall, Alberto Ortega Socorro has a strong background in software engineering and has taken on leadership roles in various projects throughout their career.

Alberto Ortega Socorro completed their Bachelor of Science degree in Computer Science from the Universidad de La Laguna from 1996 to 1999. Alberto then pursued a Master of Science degree in Computer Science from the Universidad Politécnica de Madrid from 1999 to 2002.

In addition to their formal education, Alberto Ortega Socorro has obtained several certifications in various subjects. In 2013, they completed a certification in "Pattern-Oriented Software Architectures for Concurrent and Networked Mobile Devices and Clouds" from Coursera. From 2014 to 2015, they obtained a series of certifications from Coursera on topics such as "The Data Scientist's Toolbox," "R Programming," "Getting and Cleaning Data," "Exploratory Data Analysis," "Reproducible Research," "Statistical Inference," "Regression Models," and "Developing Data Products." Finally, in 2015, they completed a certification in "Practical Machine Learning" from Coursera Verified Certificates.

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