Elizabeth Ramirez
About Elizabeth Ramirez
Elizabeth Ramirez is a Data Scientist with a strong background in machine learning and statistics. She has worked at notable companies such as Oracle, The New York Times, and Descartes Labs, and holds advanced degrees in Applied Mathematics and Computational Science.
Work at treble.ai
Currently, Elizabeth Ramirez serves as a Data Scientist at treble.ai, having joined the company in 2023. In her role, she develops prototypes to test analytical hypotheses, which aids in data-driven decision-making processes. Her work involves managing extensive multidimensional arrays using the PyData stack, including libraries such as numpy, xarray, and pandas.
Previous Experience in Data Science
Before her current position, Elizabeth worked as an Applied Scientist at Descartes Labs from 2017 to 2023. In this role, she focused on advanced data analysis techniques. Additionally, she held the position of Senior Software Engineer at The New York Times from 2013 to 2016, where she contributed to software development projects. Earlier in her career, she worked as a Senior Systems Engineer at Oracle for one year in Bogotá, Colombia.
Education and Expertise
Elizabeth Ramirez has a strong educational background in engineering and data science. She earned a Bachelor of Science in Electrical Engineering from Universidad de Antioquia, followed by a Graduate Certificate in Information Systems from Universidad EAFIT. She furthered her studies with a Master of Science in Applied Mathematics from Columbia University and completed her Doctor of Philosophy in Computational Science & Engineering at Mississippi State University in 2022.
Technical Skills and Specializations
Elizabeth specializes in various machine learning techniques, including classical and adaptive clustering, random forest, and ensemble methods. She has extensive experience with Bayesian Inference, Hidden Markov Models, and Maximum Likelihood Estimation in classical statistics. Additionally, she has worked with deep learning architectures for object detection using YOLO and image segmentation using U-Net.
Career Progression
Elizabeth's career began as a Software Developer at EPM Telecomunicaciones in Medellín, Colombia, where she worked from 2004 to 2008. She then transitioned to roles such as Senior Systems Engineer in independent contracting and Web Engineer at Gift Hit, LLC. Her diverse experience across various companies and roles has contributed to her expertise in data science and software engineering.