James Opacich
About James Opacich
James Opacich is a Sr. Analyst in Credit Risk at Credit One Bank, where he has worked since 2023. He has a background in machine learning and data analysis, with notable contributions to projects involving predictive modeling and natural language processing.
Work at Credit One Bank
James Opacich currently serves as a Senior Analyst in Credit Risk at Credit One Bank, a position he has held since 2023. His role involves analyzing credit risk factors and contributing to data-driven decision-making processes. Prior to this position, he worked as a Credit Risk Analyst/Technologist at the same bank from 2021 to 2023. During his tenure, he participated in a team project that deployed a web application aimed at predicting auto accident severity, utilizing a dataset with over 4.2 million observations.
Education and Expertise
James Opacich earned a Bachelor of Arts in Political Science from Bowling Green State University, where he studied from 2001 to 2006. He further enhanced his skills in data science by completing a Data Science Immersive program at General Assembly in 2021, focusing on machine learning techniques. His educational background supports his expertise in data analysis and predictive modeling.
Background in Business Development
Before his current role, James worked at Aerotek as a Business Development and Accounts Manager from 2006 to 2009. This position involved managing client accounts and fostering business relationships. Additionally, he served as a Sales Representative at Verizon for 11 months in 2005-2006, where he developed skills in sales and customer service.
Data Science Projects and Achievements
James has developed significant data science projects throughout his career. He created a convolutional neural network model that improved wine varietal prediction accuracy, achieving results three times better than the baseline. He also implemented a Natural Language Processing workflow that classified over 6,000 social media posts from Reddit, achieving a balanced accuracy exceeding 90%. Furthermore, he conducted an analysis on a housing dataset with more than 82 features, successfully building a predictive model that estimated housing prices within 10% of their actual value.
Previous Roles and Experience
James has held various roles that contributed to his professional development. He worked as an Operations Manager at MOJO Home Projects for eight months in 2013-2014. His diverse experience across different industries, including technology and operations, has equipped him with a broad skill set applicable to his current role in credit risk analysis.