Jermaine D. Marshall
About Jermaine D. Marshall
Jermaine D. Marshall is a Senior Data Scientist with extensive experience in data science and artificial intelligence. He has held various roles in notable companies and academic institutions, contributing to projects that enhance predictive modeling and anomaly detection.
Current Role at Exponent
Jermaine D. Marshall currently serves as a Senior Data Scientist at Exponent, a position he has held since 2022. In this role, he focuses on advanced data analysis and machine learning techniques to drive insights and improve decision-making processes. His responsibilities include developing complex models and collaborating with cross-functional teams to implement data-driven solutions.
Previous Experience at Exponent
Prior to his current role, Jermaine worked at Exponent as a Data Scientist from 2020 to 2022. During this time, he developed and optimized a deep learning model for link prediction, specifically targeting shipboard interactions for a government client. This project resulted in a 15% improvement in accuracy, demonstrating his ability to apply data science methodologies effectively.
Educational Background
Jermaine D. Marshall earned a Bachelor of Science in Computer Science from the University of Arkansas at Little Rock, completing his studies from 2011 to 2015. He further advanced his education at the University of Notre Dame, where he obtained a Doctor of Philosophy in Computer Science from 2015 to 2020. His academic journey included roles as a Teaching Assistant and a PhD Candidate, focusing on topics such as reliability in online social spaces.
Internship Experience
Jermaine has accumulated diverse internship experiences throughout his career. He interned at McAfee as a Data Science Machine Learning Intern in 2016 and at eBay as a Data Science Research Intern in 2018. Additionally, he held positions at Chegg Inc. and Adobe Systems Inc., where he contributed to projects involving data science and mobile application development. These internships provided him with practical skills and insights into the tech industry.
Key Projects and Contributions
Throughout his career, Jermaine has been involved in several significant projects. He implemented a Large Language Model solution using GPT-3.5 to summarize lengthy articles, enhancing productivity within his team. Additionally, he developed an anomaly detection system for identifying fraudulent transactions in e-commerce, and a risk assessment model for a utility firm to identify fire vulnerabilities. These contributions reflect his expertise in applying data science to real-world challenges.