Zeinab Sobhani
About Zeinab Sobhani
Zeinab Sobhani is a Data Scientist with a robust background in Mechanical Engineering, Control, and Robotics. She specializes in time series analysis, anomaly detection, and deep learning, and currently works at Jungle Scout in Vancouver, Canada.
Work at Jungle Scout
Zeinab Sobhani has been employed as a Data Scientist at Jungle Scout since 2021. In this role, she utilizes her expertise in data analysis to support the company's objectives. Her work involves extracting insights from large datasets, which aids in decision-making processes. She has been part of the team for three years, contributing to the development of data-driven solutions.
Education and Expertise
Zeinab Sobhani holds a Master's degree in Electrical Engineering from McGill University, where she studied from 2017 to 2019. She also earned a Bachelor's degree in Mechanical Engineering from the University of Tehran, completing her studies from 2012 to 2016. Additionally, she obtained a Diploma in Mathematics from Farzanegan, studying from 2012 to 2016. Her educational background supports her specialization in time series analysis, anomaly detection, and deep learning.
Background
Zeinab Sobhani has a strong foundation in Mechanical Engineering, Control, and Robotics. She began her career as a Research Assistant at CAST (Center of Advanced Systems and Technologies) in Iran from 2014 to 2016. Following this, she worked as a Teacher Assistant at McGill University from 2017 to 2018, and later as a Programmer and Machine Learning Researcher at SORSYS Technologies in Mississauga from 2017 to 2019. She also completed a Machine Learning and Control Internship at Institut du véhicule innovant from 2019 to 2020.
Professional Experience
Zeinab Sobhani has accumulated diverse professional experience in data science and machine learning. She worked as a Data Scientist at Ericsson in Montreal from 2020 to 2021, where she focused on data analysis. Her roles have involved effectively communicating insights to both technical and non-technical stakeholders, showcasing her ability to bridge the gap between complex data and practical applications.