Szymon Kowara

Sr. Machine Learning Engineer @ Quantcast

About Szymon Kowara

Szymon Kowara is a Senior Machine Learning Engineer at Quantcast, where he has worked since 2021 in London, England. He holds a Master's degree in Computer Science from the University of Oxford, where he studied from 2015 to 2019.

Work at Quantcast

Szymon Kowara has been employed at Quantcast since 2021, currently holding the position of Senior Machine Learning Engineer. In this role, he focuses on developing and implementing machine learning models to enhance data-driven decision-making processes. Prior to his current position, he worked as a Modeling Scientist at Quantcast from 2019 to 2021, where he contributed to various projects involving predictive analytics. His journey at Quantcast began with an internship as a Software Engineer in 2018, where he gained foundational experience in software development and machine learning applications.

Education and Expertise

Szymon Kowara earned a Master's degree in Computer Science from the University of Oxford, where he studied from 2015 to 2019. His education provided him with a strong foundation in algorithms, data structures, and machine learning techniques. This academic background supports his expertise in developing advanced machine learning models and applying them in practical scenarios. His education at a prestigious institution like Oxford is indicative of his commitment to the field of computer science and machine learning.

Background

Szymon Kowara is based in London, England, United Kingdom. His professional career in machine learning and software engineering has been primarily centered around his work at Quantcast. His experience spans various roles, starting from an internship to his current senior position, showcasing his growth and development in the tech industry. His background reflects a focus on machine learning and data analytics, which are critical areas in today's technology landscape.

Career Progression

Szymon Kowara's career at Quantcast demonstrates a clear progression in responsibilities and expertise. He began as a Software Engineer Intern in 2018, where he gained initial exposure to the field. Following this, he transitioned to the role of Modeling Scientist from 2019 to 2021, where he honed his skills in data modeling and analytics. In 2021, he advanced to the position of Senior Machine Learning Engineer, where he now leads projects that leverage machine learning to drive business insights.

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