Ginu Varghese

Ginu Varghese

Junior Software Engineer @ Kaseya

About Ginu Varghese

Ginu Varghese is a Junior Software Engineer currently working at Kaseya in Dundalk, Ireland. He has a background in software engineering and data analytics, with previous experience at QuEST Global and EY.

Work at Kaseya

Ginu Varghese has been employed at Kaseya as a Junior Software Engineer since 2022. He is based in Dundalk, County Louth, Ireland. In this role, he contributes to software development projects, leveraging his background in engineering and data analytics.

Previous Experience at QuEST Global

Prior to his current position, Ginu Varghese worked at QuEST Global from 2019 to 2021 as a Software Engineer. During his tenure, he developed a Graphical User Interface (GUI) and functionalities for the Canon Ultrasound Scanner. He also improved the Patient Information Management subsystem for the Aplio-iSeries machine using Visual C++ and the Microsoft Foundation Classes (MFC) library. His earlier role at QuEST Global was as a Trainee Engineer from 2018 to 2019.

Education and Expertise

Ginu Varghese holds a Master's degree in Data Analytics from Dundalk Institute of Technology, which he completed in 2022. His studies included programming in Python, data architecture using PowerShell and SQL, statistics for data manipulation, machine learning, and data visualization with Tableau. He also earned a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from Sahrdaya College of Engineering and Technology, completing his degree in 2017.

Internship Experience at EY

In 2018, Ginu Varghese completed a four-month internship at EY. This experience provided him with exposure to the professional environment and allowed him to apply his academic knowledge in a practical setting.

Academic Background

Ginu Varghese completed his early education at Sacred Heart School, where he studied Science and Mathematics, achieving Plus Two from 2011 to 2013. His foundational education laid the groundwork for his subsequent studies in engineering and data analytics.

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