Paulo Victor Viana Da Silva
About Paulo Victor Viana Da Silva
Paulo Victor Viana Da Silva is an Interview Engineer with extensive experience in data engineering and software development. He has worked for various companies across Brazil, Ecuador, and Mexico, and holds multiple degrees in engineering and data engineering.
Work at Karat
Currently, Paulo Victor Viana Da Silva serves as an Interview Engineer at Karat. He has been in this role since 2021, contributing to the company's mission of improving the technical interview process. His experience in engineering and data analysis supports his work in evaluating candidates' technical skills.
Current Position at Kuona
Paulo has been working as a Data Engineer at Kuona since 2022. In this role, he applies his expertise in data engineering to develop and maintain data pipelines, ensuring efficient data processing and analysis. His work supports the company's data-driven decision-making processes.
Education and Expertise
Paulo holds a Master of Science in Electrical Engineering from Universidade Federal de Itajubá, completed between 2017 and 2020. He also earned a Bachelor of Engineering in the same field from the same university, studying from 2011 to 2017. Additionally, he achieved a Post-Graduation Lato Sensu - MBA in Data Engineering in 2023 from XP Educação. He is currently pursuing a Sandwich Degree in Electrical and Electronics Engineering at the University of Strathclyde.
Professional Background
Paulo has a diverse professional background in engineering and software development. He began his career as an intern at Companhia Siderúrgica Nacional (CSN) in 2010 and later held various positions, including Technical Assistant II and Electrical Engineer at CSN. He also worked as a Python Developer at Legal Bot and as a Software Engineer at ioet. His early experience includes an internship at GE in 2016.
Technical Skills and Projects
Paulo possesses a strong technical skill set, including proficiency in multiple programming languages such as Python, C, C#, C++, R, and SQL. He has experience developing AI algorithms and data pipelines using Python libraries like PySpark, pandas, and NumPy. His expertise extends to utilizing Spark with AWS for data engineering tasks and developing software using MATLAB GUIDE.