Mona Arami
About Mona Arami
Mona Arami is a Data Scientist with extensive experience in machine learning and data analytics. She currently works at the U.S. Geological Survey and has a strong educational background, including degrees from UC San Diego Extended Studies, University of Denver, and University of Tehran.
Work at U.S. Geological Survey
Mona Arami has been employed at the U.S. Geological Survey (USGS) as a Data Scientist since 2019. In this role, she applies her expertise in data science to support various projects and initiatives within the organization. Her responsibilities include utilizing statistical analysis and data visualization techniques to develop predictive models that assist in understanding geological phenomena.
Education and Expertise
Mona Arami has a strong educational background in data science and engineering. She studied at UC San Diego Extended Studies, where she achieved a specialization in Machine Learning Engineering in 2022. Prior to that, she completed a program in Data Analytics at the University of Denver - Daniels College of Business in 2019. Her foundational education includes a Bachelor of Engineering in Computer Software Engineering from the University of Tehran, which she obtained from 1998 to 2003.
Background
Mona Arami has a diverse academic and professional background that spans several years and disciplines. She began her higher education at the University of Tehran, where she focused on Computer Software Engineering. After obtaining her degree, she pursued further studies in data analytics and machine learning, reflecting her commitment to continuous learning and professional development in the field of data science.
Achievements
Mona Arami has demonstrated a commitment to staying current with advancements in machine learning and data science. Her work involves creating innovative solutions aimed at driving business outcomes. Through her role at the USGS, she has contributed to the development of predictive models that leverage statistical analysis and data visualization, showcasing her skills and knowledge in the field.