About

Marguerite Ashby is an accomplished software engineering professional with a strong background in ML and Data Science. She is currently working as an Associate at Goldman Sachs, where she has been instrumental in developing and implementing cutting-edge software solutions. Marguerite has a proven track record of delivering high-quality work in a fast-paced environment, and her expertise in ML and Data Science has been a valuable asset to her team. Prior to her current role, Marguerite worked as an Analyst in Application Development at Goldman Sachs, where she gained valuable experience in software engineering and honed her technical skills. Before joining Goldman Sachs, Marguerite served as a Data Science and Machine Learning Fellow at Tavtech, where she worked on a range of projects related to ML and Data Science. Marguerite holds a Bachelor's degree from the University of Texas at Austin, where she majored in Computer Science. During her time at the university, she gained a deep understanding of software engineering and developed a passion for ML and Data Science. Marguerite is a highly motivated and detail-oriented individual who is always looking for ways to improve her skills and knowledge. Marguerite's technical expertise includes ML and Data Science, and she has experience working with a range of programming languages and tools. She is a quick learner and is always eager to take on new challenges. Marguerite's relevant experience in the industry is 2.36 years, and she has already made significant contributions to the field of software engineering. With her passion for technology and her strong work ethic, Marguerite is sure to continue making a positive impact in the years to come.