Tung Le
About Tung Le
Tung Le is a Lead Machine Learning Engineer at Thomson Reuters, with over 10 years of experience in software engineering, data science, and machine learning. He has previously held positions at NBCUniversal, J.D. Power, and Kumoh National Institute of Technology, and has expertise in building machine learning applications on cloud platforms.
Work at Thomson Reuters
Tung Le serves as the Lead Machine Learning Engineer at Thomson Reuters, a position he has held since 2023. In this role, he is responsible for developing machine learning applications that enhance the company's data-driven decision-making capabilities. His expertise in cloud platforms and machine learning allows him to contribute significantly to Thomson Reuters' technological advancements.
Previous Experience at NBCUniversal
Before joining Thomson Reuters, Tung Le worked as a Senior Data Scientist at NBCUniversal from 2021 to 2023. During his tenure, he focused on leveraging data analytics to drive business insights and improve operational efficiency. His role involved collaborating with cross-functional teams to implement data-driven solutions.
Background in Data Science at J.D. Power
Tung Le worked as a Data Scientist at J.D. Power from 2018 to 2021. In this capacity, he utilized his skills in data analysis and visualization to support various projects aimed at enhancing customer insights and market research. His contributions helped the organization in delivering valuable data-driven recommendations.
Education and Expertise
Tung Le earned his Doctor of Philosophy in Computer Science from the University of Louisiana at Lafayette, where he studied from 2013 to 2018. His academic background provided a solid foundation in machine learning and data science. He has over 10 years of experience in software engineering, data science, and machine learning, with specific expertise in building end-to-end machine learning applications on cloud platforms like AWS and GCP.
Research Assistant Role at Kumoh National Institute of Technology
Tung Le began his career as a Graduate Research Assistant at Kumoh National Institute of Technology from 2011 to 2013. During this period, he gained practical experience in research methodologies and contributed to various projects that enhanced his understanding of machine learning and data analytics.