Reihane Rahimilarki

Reihane Rahimilarki has a diverse work experience starting in 2011 as an Advertising Graphic Designer at SanadPardaz. From 2013 to 2016, they worked as an R&D and Control Engineer at HOORPENDAR Computer Technology Industries, where they designed and installed the governor of a power plant, implemented a monitoring system, and managed a project for data-logging. In 2016, Reihane joined Sazeh Consultants as a Control and Instrumentation Engineer, where they worked in a team of 14 colleagues designing instrumentation for a Gas Treatment Plant and handling vendor negotiations. Currently, Reihane works as an AI Scientist at MATH LABS, where they started in December 2020.

Reihane Rahimilarki has a comprehensive education history in the field of Electrical Engineering. Reihane began their academic journey by earning a Bachelor of Science (B.Sc.) degree in Electrical Engineering with a specialization in the Control Field from Amirkabir University of Technology in Tehran. Reihane completed this degree between the years 2006 and 2010.

Following their undergraduate studies, Reihane pursued a Master of Science (M.Sc.) degree in Electrical Engineering, also focusing on the Control Field, from Amirkabir University of Technology - Tehran Polytechnic. Reihane completed their master's degree program from 2010 to 2012.

In 2017, Reihane Rahimilarki enrolled in a Doctor of Philosophy (Ph.D.) program at Northumbria University with a specialization in Electrical Engineering. Reihane successfully completed their Ph.D. program in 2020.

In addition to their formal education, Reihane has also obtained several certifications in the field of Data Science. Reihane has completed courses such as "Introduction to Deep Learning," "Python for Data Science," "What is Data Science?", "Data Science Methodology," "Data Science Orientation," and "Open Source tools for Data Science" through Coursera. These certifications were obtained between 2019 and 2020.

Reihane's educational background, combined with their certifications in Data Science, showcases their academic dedication and expertise in the field of Electrical Engineering and Data Science.