Jugraj Ruppal

Jugraj Ruppal

Quality Assurance Associate @ Mathematica

About Jugraj Ruppal

Jugraj Ruppal is a Quality Assurance Associate at Mathematica in Washington, DC, where he has worked since 2021. He holds a Bachelor's degree in Applied Mathematics and Statistics from Stony Brook University and has experience in various quality assurance roles, including positions at TrueConf and Swift Living.

Work at Mathematica

Jugraj Ruppal has been employed at Mathematica as a Quality Assurance Associate since 2021. His role involves ensuring the quality and reliability of software products. He has contributed to various projects within the organization, applying his skills in quality assurance to enhance product performance. His work is based in Washington, DC, where he has gained valuable experience over the past three years.

Previous Experience in Quality Assurance

Prior to his current position, Jugraj Ruppal worked at Swift Living as a QA Engineer from 2020 to 2021. In this role, he was responsible for testing software applications to identify defects and ensure quality standards. Additionally, he served as a Software Quality Assurance Intern at TrueConf for four months in 2021, where he further developed his skills in quality assurance in a remote setting.

Education and Expertise

Jugraj Ruppal earned a Bachelor's degree in Applied Mathematics and Statistics from Stony Brook University, completing his studies from 2017 to 2021. His educational background provides a strong foundation in statistical modeling, which enhances his capabilities in software quality assurance. He is proficient in using business intelligence tools, which supports data-driven decision-making in his work.

Skills in Automation and Emerging Technologies

Jugraj Ruppal possesses expertise in automation frameworks, which allows him to streamline quality assurance processes effectively. His skills contribute to improving efficiency in testing and quality control. Additionally, he has a strong interest in emerging technologies, particularly artificial intelligence and machine learning, which informs his approach to quality assurance and software development.

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