Alex Tryforos
About Alex Tryforos
Alex Tryforos is a Senior Machine Learning Engineer at Thomson Reuters, with a background in mathematics and data science. He has held various roles in academia and industry, including positions at Louisiana State University and GoGuardian, and has expertise in machine learning model development and deployment.
Current Position at Thomson Reuters
Alex Tryforos currently holds the position of Senior Machine Learning Engineer at Thomson Reuters, where he has been employed since 2023. In this role, he focuses on developing and deploying machine learning models, leveraging his expertise in the field to contribute to the company's technological advancements.
Previous Experience in Data Science
Prior to his role at Thomson Reuters, Alex Tryforos worked as a Data Scientist II at GoGuardian from 2022 to 2023. He also served as a Senior Data Scientist at Lumen Technologies for 10 months in 2020 to 2021, and as a Data Scientist at SurePrep LLC from 2021 to 2022. His experience includes utilizing tools such as MLflow and Databricks for model development and deployment.
Educational Background in Mathematics and Statistics
Alex Tryforos earned a Master's degree in Applied Statistics from Louisiana State University, completing his studies from 2018 to 2020. He also holds a Bachelor of Science in Mathematics, which he obtained from the same institution between 2014 and 2018. His educational background provides a strong foundation for his work in data science and machine learning.
Teaching and Tutoring Experience
Alex has a background in education, having worked as a Mathematics Tutor at the LSU Department of Mathematics from 2015 to 2016. He also served as a Graduate Teaching Assistant and a Calculus Teacher at Louisiana State University between 2018 and 2020. His teaching roles involved imparting mathematical knowledge and supporting students in their academic pursuits.
Technical Skills and Specializations
Alex Tryforos specializes in deploying machine learning models in cloud environments, particularly using AWS. He has experience in developing scalable machine learning models with XGBoost and emphasizes data visualization and storytelling to effectively communicate insights. Additionally, he has delivered technical talks to enhance team knowledge within his data science teams.