Jonas Umaras

Jonas Umaras has a diverse work experience starting with their current position as a .NET Developer at StormGeo since 2021. Prior to this, they worked as a .NET Developer at UAB "NEVDA" from 2020 to 2021, where they focused on web application development using C#, ASP.NET, Angular.js, Angular, Oracle DB, and SQL Server. Before that, they worked as a Software Developer at Cognizant from 2019 to 2020. Jonas'searliest role was as a Technician at Vilnius University in 2015, where they were involved in experimental particle physics and data analysis related to the CMS experiment conducted at LHC, CERN.

Jonas Umaras completed their education in a chronological manner. Jonas first earned a Bachelor's degree in Physics from Vilniaus universitetas / Vilnius University, studying from 2012 to 2016. Jonas then pursued a Master's degree in Computational Science from Uppsala University, which they completed between 2016 and 2018.

In addition to their formal education, Jonas also obtained various certifications. These include certifications in C# Algorithms from LinkedIn (obtained in July 2022), AngularJS JumpStart with Dan Wahlin, Learn and Understand AngularJS, A Gentle Introduction To ASP.NET Web Forms For Beginners, The Ultimate Git Course, Design Patterns in C# and .NET, and Xamarin Forms: Build Native Cross-platform Apps with C# from Udemy (obtained in 2021-2022). Jonas also holds certifications in C# Developers: Double Your Coding Speed with Visual Studio, Entity Framework in Depth: The Complete Guide, and Interest Rate Models from Udemy, as well as certifications in ANU-ActuarialX: Introduction to Actuarial Science, C# Basics for Beginners: Learn C# Fundamentals by Coding, and C# Intermediate: Classes, Interfaces and OOP from edX and Udemy (obtained in 2019-2020). Furthermore, they have certifications in The Power of Macroeconomics: Economic Principles in the Real World, Data Structures, Algorithmic Toolbox, Applied Data Science with Python Specialization, Applied Social Network Analysis in Python, and Applied Text Mining in Python from Coursera (obtained in 2018-2019).

No strong assumptions were made outside of the provided information, and the summary is based solely on the provided education history and additional certifications.