Daniel Park
About Daniel Park
Daniel Park is a Tech Analyst at Roivant Sciences, where he has worked since 2021. He has a background in data analytics and statistical analysis, with experience in various roles across the United States and Chile.
Work at Roivant Sciences
Daniel Park has been employed at Roivant Sciences as a Tech Analyst since 2021. In this role, he utilizes his expertise in statistical analysis and computer programming to support data-driven decision-making processes within the organization. His tenure at Roivant Sciences has allowed him to apply his strong analytical skills in a dynamic environment focused on advancing healthcare solutions.
Previous Experience
Prior to his current position, Daniel Park held several internships and roles that contributed to his professional development. He worked as a Data Science Intern at Uptake for two months in 2020, where he gained practical experience in data analysis. Additionally, he served as a Data Analytics Intern at Principal Financial Group in 2019 and as a Quantitative Research Intern at FCLTGlobal for one month in the same year. His experience also includes a role as a Market Analyst at BusinessHub Consultants in Santiago, Chile, and a Mathematics/Statistics Teaching Assistant at Williams College from 2018 to 2021.
Education and Expertise
Daniel Park studied at Williams College, where he earned a Bachelor of Arts in Statistics and Spanish from 2017 to 2021. He furthered his education at the University of Oxford for one year from 2019 to 2020. His academic background provides him with a solid foundation in statistical analysis and computer programming, which he has effectively applied in various professional settings.
Bilingual Proficiency and International Experience
Daniel Park possesses bilingual proficiency in Spanish, enhancing his ability to communicate and collaborate in diverse environments. His international experience includes working in both the United States and Chile, which has enriched his understanding of different cultural contexts and business practices. This diverse background supports his interest in leveraging data-driven insights for decision-making.