Bryce Roski Amendola
About Bryce Roski Amendola
Bryce Roski Amendola is a Data Scientist currently working at Bridg in Los Angeles, California. He has a background in computer science, holding both a Bachelor's and a Master's degree from the University of Southern California, and has experience in machine learning research and engineering.
Current Role at Bridg
Bryce Roski Amendola has been employed as a Data Scientist at Bridg since 2020. In this role, he applies his expertise in data analysis and machine learning to enhance the company's data-driven decision-making processes. His work involves utilizing advanced algorithms to extract insights from complex datasets, contributing to the overall effectiveness of Bridg's operations.
Previous Experience at USC Institute for Creative Technologies
Prior to his current position, Bryce worked as a Machine Learning Researcher at the USC Institute for Creative Technologies for three months in 2017. During this time, he engaged in research focused on machine learning applications, which helped to further develop his skills in the field.
Experience at Majestic Realty Co.
Bryce served as a Machine Learning Engineer at Majestic Realty Co. from 2019 to 2020. In this role, he was responsible for implementing machine learning solutions to improve business processes. His experience at Majestic Realty Co. contributed to his professional growth and understanding of machine learning in a corporate environment.
Education and Expertise in Computer Science
Bryce holds a Bachelor's degree in Computer Science from the University of Southern California, which he completed from 2014 to 2018. He furthered his education by obtaining a Master's degree in the same field from 2018 to 2020. Throughout his studies, he developed expertise in various machine learning algorithms, including K-nearest neighbor, Decision Tree, Linear regression, and Neural Networks.
Background and Early Education
Bryce attended Loyola High School of Los Angeles from 2010 to 2014, where he laid the foundation for his future studies in computer science. His early education provided him with the skills and knowledge necessary to pursue a career in technology and data science.