Maryam Moghimi

Maryam Moghimi, Ph.D. has a diverse work experience that showcases their expertise in data science, teaching, and engineering. Maryam is currently working at CCC Intelligent Solutions as the Lead Data Scientist, after previously serving as a Senior Data Scientist and a DevOps Intern at the same company. Maryam'sresponsibilities in these roles involved utilizing statistical analysis, building and deploying advanced pattern recognition models, and leading a team.

Prior to their work at CCC Intelligent Solutions, Maryam served as an Adjunct Faculty Instructor at The University of Texas at Arlington, where they instructed a class of 60 students and maintained class syllabi and assignment logs. Maryam also worked as a Graduate Teaching Assistant, leading a team of teaching assistants and delivering lectures on various subjects including statistical models, game theory, and Markov chains.

In 2018, Maryam gained engineering experience as an Engineer Intern at Vistra Energy, where they developed digital models and utilized statistical analysis to identify alarm thresholds for power plant operations.

Before that, they worked as a Risk Analyst at Simorgh Pasargad, where they manipulated large data files using SAS and Python.

Overall, Maryam Moghimi, Ph.D. has shown proficiency in data science, engineering, teaching, and risk analysis throughout their career.

Maryam Moghimi, Ph.D. received their Bachelor's degree (B.Sc.) in Applied and Industrial Mathematics from Sharif University of Technology in 2014. Maryam then pursued a Master of Science (M.Sc.) in Mathematics - General Statistics from The University of Texas at Arlington from 2014 to 2017. Maryam continued their education at The University of Texas at Arlington and obtained a Doctor of Philosophy (Ph.D.) in Industrial Engineering from 2015 to 2020. In addition to their academic achievements, they have also obtained certifications in various subjects such as REST APIs with Flask and Python, Master in JSON, Data Scientist with Python, Python 3, The Application of MS Excel in Financial Engineering & Risk Management, and Asset Liability Management in Banks and Credit Institutions.