Adhvaith Vijay
About Adhvaith Vijay
Adhvaith Vijay is a Machine Learning Intern at Standard AI, where he has worked since 2022. He holds a Bachelor's degree in Statistics from UCLA and a Master's degree in Data Science from UC San Diego, with prior internship experience at notable companies such as JPMorgan Chase & Co. and Rolls-Royce.
Work at Standard AI
Adhvaith Vijay has been employed at Standard AI as a Machine Learning Intern since 2022. In this role, he engages in various machine learning projects, contributing to the development and implementation of AI solutions. His internship at Standard AI allows him to apply his academic knowledge in a practical setting, enhancing his skills in machine learning and data analysis.
Education and Expertise
Adhvaith Vijay holds a Bachelor of Science degree in Statistics from the University of California, Los Angeles. He further advanced his education by obtaining a Master's degree in Data Science from the Halıcıoğlu Data Science Institute at UC San Diego. His academic background provides a strong foundation in statistical methods and data analysis, essential for his roles in machine learning and data science.
Background
Adhvaith Vijay has gained diverse experience in the field of data science and machine learning through various internships. He worked at JPMorgan Chase & Co. as a Data Science Intern for two months in 2022. Prior to that, he held multiple positions at DataRes at UCLA, including Project Lead and ML Researcher. His experience also includes a role as an Information Security Intern at LPL Financial and a Data Science Intern at Rolls-Royce.
Internship Experience
Throughout his career, Adhvaith Vijay has completed several internships that have enriched his expertise in data science. He served as a Statistics Research Summer Intern at Carnegie Mellon University in 2021. His internship at Rolls-Royce lasted nine months from 2019 to 2020, where he focused on data science projects. These experiences have equipped him with practical skills in data analysis and machine learning.