Laura Uzcategui Jauregui

Laura Uzcategui Jauregui has a diverse work experience spanning various roles and companies. Laura recently joined TalentBait in 2023 as a Machine Learning & Data Engineer. Prior to that, in 2020, they worked as a Technical Reviewer for O'Reilly Media, specializing in Machine Learning and Artificial Intelligence. During their time at O'Reilly, they reviewed books such as "AI and Machine Learning for Coders" by Laurence Moroney. From 2020 to 2021, Laura worked at Microsoft as a Software Engineer in the Azure AD - Cloud/AI team.

Before joining Microsoft, Laura had an extensive tenure at Workday from 2016 to 2020. During this time, they held multiple roles, including Software Development Engineer III at the Machine Learning Platform and Software Development Engineer in the Platform Engineering group. Laura'sresponsibilities at Workday involved building and scaling platforms and infrastructure to support machine learning services, designing automation frameworks, and working with technologies like Golang, Scala, Java, Python, Kubernetes, and Docker.

Prior to Workday, Laura worked at Ellucian as a Software Developer from 2014 to 2016. Laura began their career at Ericsson Venezuela as a Project Leader in 2011, where they collaborated with teams to optimize revenue assurance processes and developed KPIs and dashboards. Before that, Laura worked as a Software Engineer at Telefonica Movistar Venezuela from 2009 to 2011, where they worked on projects related to Oracle migration and SMS traffic statistics.

Laura'searliest role was as a Junior Programmer-Analyst at M2Design CA from 2007 to 2008. During this time, Laura was involved in designing and developing Oracle processes, conducting research on VoIP servers, and working on Linux, ETL, VoIP, and Oracle technologies.

Overall, Laura Uzcategui Jauregui's work experience demonstrates their expertise in machine learning, software engineering, and project management across various industries and companies.

Laura Uzcategui Jauregui has a diverse educational background. Laura obtained a Professional Certificate in Artificial Intelligence from Stanford University in 2021-2022. Prior to that, they earned a Master's Degree in Project Management from Universitat Ramon Llull in 2012-2013. Laura also completed a Deep Learning Nanodegree from Udacity in 2020 and a Data Analyst Nanodegree from Udacity in 2018-2019, specializing in Data Science. In terms of their earlier education, they pursued a Master's degree in Telecommunications Management at Universidad Simón Bolívar from 2009 to 2012. Laura's Bachelor's degree in Computer Science was earned from Universidad Central de Venezuela from 2003 to 2008.

In addition to their formal education, Laura has also obtained various certifications. Laura completed an Artificial Intelligence certification from Stanford Online in June 2022. Other certifications include "STATSX0001: Statistical Learning" from edX in October 2021, "Mathematics for Machine Learning Specialization" from Coursera in September 2021, and "Natural Language Processing in TensorFlow," "Sequences, Time Series and Prediction," "TensorFlow in Practice Specialization," "Convolutional Neural Networks in TensorFlow," and "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" from Coursera in 2019. Moreover, they hold a certification in "MongoDB for Java Developers" from MongoDB, Inc obtained in February 2015, as well as an "ITIL v3 Foundations" certification from Quint Wellington Redwood obtained in June 2011. Finally, Laura has a "Project Management Professional (PMP®)" certification from PMI obtained in July 2013 and a "Microsoft - edX Honor Code Certificate for Introduction to R."

Overall, Laura Uzcategui Jauregui has a strong educational background, encompassing a variety of disciplines such as Artificial Intelligence, Project Management, Data Science, Telecommunications Management, and Computer Science. Laura has also consistently pursued additional certifications to enhance their knowledge and skills in various areas.