Cláudio Diniz

Cláudio Diniz has extensive work experience in data and software engineering roles. Cláudio is currently the Head of Data at Equal Experts, where they work with customers to define data strategies, shape product definitions, and architect data solutions. Cláudio also plays a central role in designing and improving data recruitment processes and engaging with the global data community. Prior to this, Cláudio worked as a Data Engineer at Equal Experts, where they planned a data platform for clients such as NBC Universal.

Before joining Equal Experts, Cláudio worked as a Software Engineer and Team Lead at e.near, where they developed REST APIs and managed backend software for a startup called MoviePass. Cláudio also worked remotely and followed agile practices such as Kanban and code reviews.

Additionally, Cláudio worked at Premium Minds as a Software Engineer and Agile Coach, where they developed backend software for the pharmaceutical industry and a CRM software for a jewelry company. Cláudio also used Servicemix to integrate data from different systems.

Earlier in their career, Cláudio worked as a Software Engineer at INESC-ID, where they focused on research and development of Natural Language Processing modules, specifically in the areas of word disambiguation and part-of-speech tagging. Cláudio utilized both statistical models and rule-based approaches in their work.

Overall, Cláudio Diniz has a strong background in data and software engineering, with experience in defining strategies, architecting solutions, and developing backend software for various industries.

Cláudio Diniz completed their education in the field of Information Systems and Computer Engineering. Cláudio obtained their Bachelor of Science (Bsc) degree from Instituto Superior Técnico in 2008 and then went on to pursue a Master of Science (Msc) degree in the same field at the same institute from 2008 to 2010.

In addition to their formal education, Cláudio has obtained several certifications. Cláudio completed courses on Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Structuring Machine Learning Projects, Neural Networks and Deep Learning, and Big Data Analysis with Scala and Spark from Coursera. These certifications were obtained between 2017 and 2017, and the specific months for each certification are also mentioned.