Jericho C.
About Jericho C.
Jericho C. is a Senior Staff Data Scientist at Adobe, with a background in physics and extensive experience in data science roles at various companies, including Change Healthcare and ConcertAI. He specializes in deep learning techniques for security data analysis and has expertise in extracting insights from authentication logs and endpoint detection and response data.
Work at Adobe
Currently, Jericho C. serves as a Senior Staff Data Scientist at Adobe, a position he has held since 2022. His role involves leveraging advanced data science techniques to enhance Adobe's product offerings. Working remotely, he applies his expertise in data analysis and security to drive insights and improve decision-making processes within the organization.
Previous Experience at Change Healthcare
Before joining Adobe, Jericho C. worked at Change Healthcare as a Senior Data Scientist from 2017 to 2020. During his three years in the San Francisco Bay Area, he focused on utilizing data analytics to support healthcare solutions. His contributions helped in optimizing processes and improving data-driven decision-making within the organization.
Experience at ConcertAI
Jericho C. held the position of Principal Data Scientist at ConcertAI from 2020 to 2022. In this role, he was responsible for leading data science initiatives and applying his expertise to enhance healthcare analytics. His work contributed to the development of innovative solutions aimed at improving patient outcomes through data-driven insights.
Educational Background
Jericho C. has a solid educational foundation in Physics. He earned a Bachelor of Science (BS) degree from Georgia State University, where he studied from 2004 to 2006. He further advanced his education at the University of Mississippi, obtaining a Doctorate in Physics, which he completed from 2006 to 2013. This academic background supports his analytical skills in data science.
Expertise in Data Science
Jericho C. specializes in extracting insights from authentication logs and endpoint detection and response (EDR) data. He has a strong focus on applying deep learning techniques to analyze security data, which enhances his ability to identify patterns and anomalies in complex datasets. His expertise is instrumental in addressing security challenges in various applications.