Justin Tennenbaum
About Justin Tennenbaum
Justin Tennenbaum is a Lead Data Scientist with a strong background in data science, machine learning, and finance. He has worked at various organizations, including Authenticx and Bank of America, and has contributed to open-source projects on GitHub.
Current Role at Authenticx
Justin Tennenbaum serves as the Lead Data Scientist at Authenticx, a position he has held since 2022. In this role, he applies his expertise in data science and machine learning to drive insights and solutions for the organization. His responsibilities include overseeing data-driven projects and leading a team of data professionals.
Previous Experience at Authenticx
Before his current role, Justin worked at Authenticx as a Machine Learning Engineer from 2021 to 2022. During this time, he contributed to various projects that utilized machine learning techniques, enhancing the company's capabilities in data analysis and predictive modeling.
Educational Background
Justin Tennenbaum studied at Penn State University, where he earned a Bachelor of Science in Economics from 2013 to 2017. He furthered his education at the University of Sydney, achieving a Bachelor of Science in International Economics in 2016. Additionally, he attended Flatiron School in 2019 to study Data Science.
Professional Experience in Finance
Justin has a background in finance, having worked at Bank of America as a Retirement Services Specialist from 2017 to 2018. He also held a position at UBS as Trading Operations Support from 2018 to 2019. His experience in these roles provided him with a solid foundation in financial operations and analysis.
Technical Skills and Contributions
Justin possesses a broad skill set in advanced machine learning techniques, including deep learning, computer vision, and natural language processing. He has contributed to open-source projects on GitHub, showcasing his expertise in data science and machine learning. His strong foundation in Finance and Mathematics supports his ability to apply statistical analysis effectively.