Ryan Rogers
About Ryan Rogers
Ryan Rogers is a Data Scientist at Gloo, where he has worked since 2017 in Boulder, Colorado. He specializes in natural language processing and has developed predictive models to improve customer retention strategies.
Work at Gloo
Ryan Rogers has been employed at Gloo since 2017, serving as a Data Scientist for seven years in Boulder, Colorado. In this role, he utilizes a variety of programming languages and tools, including R, Scala, Python, Spark, Hadoop, and AWS, to execute data science projects. His responsibilities include developing predictive scores and segmentation models, as well as implementing churn models to improve customer retention strategies. Prior to his current position, he worked as a Data Analyst at Gloo from 2015 to 2017.
Education and Expertise
Ryan Rogers earned a Bachelor's degree in Petroleum Engineering from the Colorado School of Mines, where he studied from 2012 to 2015. His educational background provides a strong foundation for his current work in data science. He specializes in natural language processing (NLP) and is skilled in creating usable machine learning frameworks, which are essential for his role in data analysis and predictive modeling.
Background
Before joining Gloo, Ryan Rogers gained practical experience as a Geologic Engineering Intern at AUC-LLC from 2012 to 2013 in Golden, Colorado. This internship allowed him to apply his engineering knowledge in a real-world setting. His transition from engineering to data science reflects his adaptability and commitment to leveraging data for strategic insights.
Mentorship and Internship Management
In addition to his technical responsibilities, Ryan Rogers manages internship programs at Gloo. He provides guidance and mentorship to aspiring data scientists, helping to cultivate the next generation of professionals in the field. This role underscores his commitment to education and professional development within the data science community.