Jake Bonnici

Associate Data Scientist @ Gaming Innovation Group

About Jake Bonnici

Jake Bonnici is an Associate Data Scientist at Gaming Innovation Group, where he has worked since 2023. He holds a Bachelor of Science in Mathematics and Physics from the University of Malta and a Master of Science in Data Science from Newcastle University.

Work at Gaming Innovation Group

Jake Bonnici currently holds the position of Associate Data Scientist at Gaming Innovation Group, where he has been employed since 2023. His role is based in Malta and operates in a hybrid work environment. Prior to this position, he worked as a Data Scientist at the same organization for a duration of 2 months earlier in 2023, also in Malta but in a remote capacity. His experience at Gaming Innovation Group contributes to his expertise in data science within the gaming industry.

Education and Expertise

Jake Bonnici earned a Bachelor of Science in Mathematics and Physics from the University of Malta, completing his studies from 2019 to 2022. He furthered his education at Newcastle University, where he achieved a Master of Science in Data Science from 2022 to 2023. Currently, he is focusing on advanced topics such as deep learning and big data as part of his ongoing Master's program. His educational background provides a strong foundation for his work in data science.

Background

Jake Bonnici has a solid academic background in mathematics, physics, and data science. His studies at the University of Malta and Newcastle University have equipped him with the necessary skills to excel in his current role. His interest in exploring new technologies and staying updated with the latest developments in data science reflects his commitment to continuous learning and professional growth.

Community Involvement

Jake Bonnici actively participates in data science communities, where he engages with peers to share knowledge and learn from others. This involvement allows him to stay connected with industry trends and best practices, enhancing his skills and understanding of the field. His contributions to these communities demonstrate his dedication to the advancement of data science.

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