LV

Lucas Ventura

Senior Software Engineer at Talent Systems, LLC

Lucas Ventura has extensive work experience in the software engineering and development field. Lucas currently holds the position of Senior Software Engineer at Talent Systems, LLC, starting in November 2022. Prior to this role, they worked at theScore as a Software Developer from October 2020 to November 2022.

Before joining theScore, Lucas worked at Asurion as a Software Engineer 3 from April 2019 to October 2020, and as a Software Engineer 2 from November 2016 to March 2019. Lucas'sresponsibilities in these roles included software development and maintenance.

Lucas also gained valuable experience as a Senior Consultant at Deloitte Brasil from October 2014 to July 2016, where they provided consulting services. Prior to that, they worked at Halliburton as an Associate IT Consultant from November 2012 to September 2014.

Additionally, Lucas has experience as a Web Developer at DicaX from April 2012 to June 2012. Lucas began their career as a Junior System Analyst at Chemtech in June 2011, where they played a significant role in building a real-time oil vessel monitoring system and maintaining legacy C++ software. Lucas'stechnical skills include C#, WPF, WCF, C++, MS SQL Server, and Oracle.

Lucas Ventura completed their Bachelor of Computer Science degree at Universidade Federal do Rio de Janeiro from 2006 to 2010. In addition to their formal education, Lucas obtained various certifications in the field of computer science. Lucas completed the "Learning Kubernetes" certification from Lynda.com in August 2018, the "edX Honor Code Certificate for Scalable Machine Learning" from edX in August 2015, the "edX Honor Code Certificate for Introduction to Big Data with Apache Spark" from edX in July 2015, the "Machine Learning" certification from Coursera in December 2014, and the "Cognitive Technologies for Business Course Completion" from NovoEd in October 2015. Lucas also has an incomplete certification titled "edX Honor Code Certificate for Data Science and Machine Learning Essentials" from edX, with no specified completion month or year.

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