Daniel Neufeldt

Daniel Neufeldt is a Mathematics, Data Theory major at UCLA, expected to graduate in 2024. Daniel has gained diverse experience through multiple internships, including a role as a Data Science Intern at Southern California Edison in 2024 and a Data Analytics Intern at GOBankingRates earlier in the year. As a Machine Learning Research Assistant with the UCLA Psychology Department, Daniel contributed to Random Forest research for text classification. Additional experiences include working as a Data Analytics Intern at Pacific Life and a Bioinformatics Research Assistant at UCLA Health, focusing on automation of statistical tests and visualizations. Prior to these roles, Daniel worked as a Tutor at Kumon North America and briefly as a Construction Worker. Educational background includes a High School Diploma from Shorewood High School and a Korean School for Language and Culture diploma.