Hayden Gill

Jr. Data Scientist @ Spring Venture Group

About Hayden Gill

Hayden Gill is a Jr. Data Scientist with expertise in programming languages such as R, C, Java, SQL, and Python. He has experience working at Deloitte and iConsult Collaborative, and currently works at Spring Venture Group, focusing on data analysis and technology implementation.

Work at Spring Venture Group

Hayden Gill has been employed at Spring Venture Group as a Junior Data Scientist since 2021. In this role, he focuses on delivering insights and driving solutions through detailed data analysis. His work involves utilizing various programming languages to analyze data and support decision-making processes within the organization.

Previous Experience at Deloitte

Before joining Spring Venture Group, Hayden Gill worked at Deloitte as a Business Technology Analyst from 2019 to 2020. His tenure lasted one year in the Greater Pittsburgh Area, where he contributed to technology implementation projects, gaining valuable experience in the intersection of business and technology.

Experience at iConsult Collaborative

Hayden Gill briefly worked as a Data Scientist at iConsult Collaborative at Syracuse University in 2021. This position lasted for three months and provided him with practical experience in data science, further enhancing his analytical skills and understanding of data-driven solutions.

Education and Expertise

Hayden Gill holds a Bachelor of Science degree in Economics and Computer Science from the University of Pittsburgh, which he completed from 2013 to 2018. He furthered his education by obtaining a Master of Science in Applied Data Science from Syracuse University - Martin J. Whitman School of Management, graduating in 2021. His academic background equips him with a strong foundation in both economic principles and technical programming skills.

Programming Skills and Specializations

Hayden Gill possesses expertise in multiple programming languages, including R, C, Java, SQL, and Python. This diverse skill set allows him to tackle various data analysis tasks and contribute effectively to technology implementation projects, both as a supporter and a leader.

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