Jered Petrou
About Jered Petrou
Jered Petrou is a Data Analyst and Co-Founder at GTAnalytics, with a strong background in sports analytics and extensive experience in Python and data visualization tools. He has worked at various organizations, including Tutor Doctor, CIBC, and Sportlogiq, and holds a Bachelor of Applied Science in Industrial Engineering from the University of Toronto.
Work at Sportlogiq
Jered Petrou has been employed as a Data Analyst at Sportlogiq since 2020. In this role, he focuses on analyzing sports data to provide insights that enhance performance and strategy. His work involves utilizing various data analysis techniques and tools to support decision-making processes within the organization.
Current Role at GTAnalytics
Since 2020, Jered Petrou has also served as a Co-Founder at GTAnalytics. In this capacity, he collaborates with a team to develop analytical solutions that leverage data for improved business outcomes. His entrepreneurial role allows him to apply his analytical skills in a dynamic environment.
Education and Expertise
Jered Petrou earned a Bachelor of Applied Science in Industrial Engineering from the University of Toronto, completing his studies in 2020. His education has provided him with a strong foundation in engineering principles, which he applies in his data analysis work. He is currently expanding his expertise in SQL and learning business intelligence tools like PowerBI.
Professional Background
Jered Petrou has a diverse professional background in data analysis and tutoring. He worked as a Tutor at Tutor Doctor from 2016 to 2019, where he developed his communication and instructional skills. He also held positions at CIBC as an Analyst and at Confluent as a Capstone Intern. Additionally, he gained experience as a Summer Student in the MIE Finance Office at the University of Toronto in 2017.
Technical Skills and Specializations
Jered Petrou specializes in sports analytics projects, enhancing his data-related skills through practical applications. He extensively utilizes Python, focusing on libraries such as Pandas, SkLearn, and Seaborn for data visualization and modeling. His technical skills enable him to analyze complex datasets effectively.