Daniel L.

Daniel L. is a Machine Learning Engineer at Meta with a strong commitment to leveraging data-driven insights to solve real-world business challenges. They previously served as a Data Scientist at Olive and Quantium, where they automated critical processes and predicted item demand for major retailers. Prior to that, Daniel contributed as a Research Assistant at Carnegie Mellon University and gained hands-on experience as a Data Scientist Intern at the U.S. Securities and Exchange Commission. Currently pursuing a Bachelor of Science in Statistics and Machine Learning at Carnegie Mellon University, Daniel combines academic knowledge with practical expertise in the field.