Daniel Dorset
About Daniel Dorset
Daniel Dorset serves as the Principal Analyst at CommentSold, where he has implemented data-driven solutions and developed custom plugins to enhance business intelligence. He holds advanced degrees in Biomedical/Medical Engineering and Systems Engineering, and has extensive experience in computational biology and scientific information management.
Work at CommentSold
Daniel Dorset has served as Principal Analyst at CommentSold since 2019. In this role, he has implemented a data warehouse that supports data-driven decision making and business intelligence solutions for a two-way marketplace. He has developed custom plugins for Apache Airflow to enhance event tracking and visualization capabilities. Additionally, he engineered near-real-time ranking algorithms and serverless solutions to deliver critical information to primary applications. His work includes building a flexible customer segmentation system that aids in targeted marketing and advertising campaigns, as well as designing a recommendation engine to suggest products to shoppers.
Education and Expertise
Daniel Dorset holds a Master of Science in Biomedical/Medical Engineering from Vanderbilt University, where he studied from 2011 to 2013. He also earned a Master of Engineering in Systems Engineering from Penn State University between 2000 and 2004. His undergraduate degree is a Bachelor of Science in Biotechnology from Middle Tennessee State University. His educational background provides a strong foundation in engineering and biotechnology, which informs his analytical and technical expertise.
Background
Before joining CommentSold, Daniel worked as the Computational Biologist Team Lead at HudsonAlpha Institute for Biotechnology from 2014 to 2019. He also served as the Manager of Scientific Information at Vanderbilt University Medical Center from 2007 to 2014. His experience in these roles contributed to his skills in data analysis and system engineering, particularly in the context of scientific research and biotechnology.
Achievements
During his career, Daniel has engineered a scalable and cost-effective system for tracking interface interactions and application events using AWS, which significantly reduced costs compared to third-party solutions. He created a customer-facing analytics platform using PHP with Laravel and JavaScript with the d3 framework, providing unique visualizations for business owners. His contributions to the development of various analytical tools and systems have enhanced operational efficiency and user experience.