Ryan Angi
About Ryan Angi
Ryan Angi is a Data Scientist currently working at Red Ventures in the Charlotte, North Carolina Area. He has a background in machine learning and programming, with previous roles in volunteer coordination and paid search.
Current Role as Data Scientist
Ryan Angi currently serves as a Data Scientist at Red Ventures, a position he has held since 2017. He operates in the Charlotte, North Carolina Area and focuses on developing advanced data-driven solutions. His responsibilities include utilizing programming languages such as R, Python, Scala (Spark MLlib), and GoLang to build machine learning models. Angi has contributed to significant projects, including the implementation of online Reinforcement Learning techniques for website optimization.
Work at Red Ventures
Ryan Angi has been associated with Red Ventures in various capacities. He initially worked as an Associate in Paid Search from 2016 to 2017 for eight months. In this role, he implemented hierarchical mixed effects modeling techniques for a proprietary automated Paid Search Bidder. Since 2017, he has taken on the role of Data Scientist, where he has continued to enhance the company's data capabilities.
Education and Expertise
Ryan Angi earned a Bachelor of Science degree in Mathematical Economics from Wake Forest University, where he studied from 2012 to 2016. He also completed a double minor in Statistics and Politics and International Affairs. His educational background provides a strong foundation for his work in data science, particularly in statistical modeling and economic analysis.
Previous Experience
Before his tenure at Red Ventures, Ryan Angi held various positions that contributed to his skill set. He worked as a Volunteer Coordinator for Appalachia Service Project in 2015 and 2014, where he coordinated volunteer efforts in Kentucky and West Virginia. He also served as a Young Life Leader in Forsyth County, NC, from 2014 to 2015. Additionally, he worked as a Customer Service Representative at Custom Vault Corporation from 2012 to 2015.
Machine Learning and Data Modeling
Ryan Angi has developed expertise in machine learning and data modeling throughout his career. He built machine learning models for a proprietary Real Time Bidder for Programmatic Display advertising, achieving bid placements in under four milliseconds per request. His work includes the application of hierarchical mixed effects modeling and online Reinforcement Learning techniques, showcasing his proficiency in advanced data analysis and modeling.