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Marzieh Kooshkbaghi has a diverse and extensive work experience in the field of software development and machine learning. Marzieh'smost recent position is as a Software Developer at Superna, where they develop back-end services and User Interface (UI) features for the company's software products. Marzieh also stays current with industry developments and applies that knowledge to enhance Superna's software products.

Prior to working at Superna, Marzieh served as the Chief Data Scientist at Periculum.io. In this role, they performed data analysis, visualization, cleaning, and feature extraction using Python libraries such as Numpy, Pandas, and Matplotlib. Marzieh also designed and developed Machine Learning and Neural Network models using Tensorflow and Scikit-Learn for default prediction and credit rating systems in underserved markets. Additionally, they led the data science team to ensure timely project completion.

Before joining Periculum.io, Marzieh worked at AltaML as an Associate Machine Learning Developer. Here, they developed a Machine Learning model for an industrial automation client to predict potential failures in advance and prevent production loss or equipment damage. Marzieh also created models for anomaly detection and root cause identification to improve the reliability of the industrial process.

Marzieh has also gained research experience during their time at The University of British Columbia, where they served as a Machine Learning Researcher. Marzieh'swork involved analyzing data from sensors in a wood sawing process and designing Machine Learning algorithms to classify different wood conditions and monitor cutting tool temperatures. Marzieh also studied the effects of wood condition and tool temperature on cut quality and power consumption.

Prior to their work at The University of British Columbia, Marzieh worked at the University of Alberta as a Graduate Research Assistant and Lab Instructor/Teaching Assistant. During this time, they gained valuable research and teaching experience.

Marzieh started their career as a Graduate Research Assistant and Lab Instructor at Amirkabir University of Technology - Tehran Polytechnic. Here, they conducted research and instructed lab sessions.

Overall, Marzieh Kooshkbaghi has a strong background in software development, data analysis, and machine learning research. Marzieh has showcased their expertise in various roles and has a proven track record of delivering high-quality work.

Marzieh Kooshkbaghi completed their education in the field of Electrical Engineering, specifically focusing on Control Systems. Marzieh earned a Bachelor's degree from Amirkabir University of Technology - Tehran Polytechnic from 2008 to 2012. Subsequently, they pursued a Master's degree from the same institution, completing it between 2012 and 2014. Marzieh furthered their education by obtaining a Doctor of Philosophy (PhD) degree in Electrical Engineering, specializing in Control Systems, from the University of Alberta from 2015 to 2019.

In addition to their formal education, Marzieh has acquired various certifications to enhance their knowledge and skills. Marzieh completed the "Spark and Python for Big Data with PySpark" course at Udemy in November 2020. In 2018, they completed the "Machine Learning" program offered by Coursera. Further, they have participated in several other online courses, including "Complete Python Bootcamp: Go from zero to hero in Python 3" and "Deep Learning A-Zâ„¢: Hands-On Artificial Neural Networks," among others, provided by Udemy. Although the specific months and years of these courses are not mentioned, Marzieh has also completed certifications in "Convolutional Neural Networks," "Deep Learning," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Machine Learning A-Zâ„¢: Hands-On Python and R In Data Science," "Neural Networks and Deep Learning," "Python for Data Science and Machine Learning Bootcamp," "SQL - MySQL for Data Analytics and Business Intelligence," "Sequence Models," and "Structuring Machine Learning Projects."