Salar Mirzaloo

Salar Mirzaloo has a diverse work experience in the fields of data science and artificial intelligence. In 2017, they worked as a Teaching Assistant at Shahid Beheshti University. From 2019 to 2020, they worked as a Teaching Assistant and Computer Vision Researcher at the University of Ottawa, where they focused on vessel detection using synthesized Sonar data and deep learning techniques. Salar also achieved an accuracy of 90% in model training. In 2020, they worked as a Machine Learning Researcher at CREATE-BEST, collaborating with professors and a physician on a project to simplify the diagnosis of Atherosclerosis using machine learning and deep learning techniques. In 2021, they worked as an AI Engineer at Meta Innovation Technologies, and currently, they are a Data Scientist at Giatec | Smart Construction Solutions since 2022.

Salar Mirzaloo began their education by earning a Bachelor's degree in Electrical Engineering from Shahid Beheshti University. Salar attended this university from 2013 to 2018.

Afterwards, they pursued a Master's degree in Electrical and Computer Engineering at the University of Ottawa from 2019 to 2020.

In addition to their academic degrees, Salar Mirzaloo obtained several certifications. These certifications include "Master SQL For Data Science" from Udemy (obtained in March 2022), "Machine Learning Fundamentals" from UC San Diego (obtained in December 2020), "Become a SQL Developer" from LinkedIn (obtained in October 2020), "Python for Data Science" from UC San Diego (obtained in August 2020), "Sequence Models" from deeplearning.ai (obtained in July 2020), "Convolutional Neural Networks" from deeplearning.ai (obtained in May 2020), "Convolutional Neural Networks in TensorFlow" from deeplearning.ai (obtained in May 2020), "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" from deeplearning.ai (obtained in May 2020), "Professional Development" from the University of Ottawa (obtained in May 2020), "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from deeplearning.ai (obtained in April 2020), "Structuring Machine Learning Projects" from deeplearning.ai (obtained in April 2020), and "Neural Networks and Deep Learning" from deeplearning.ai (obtained in February 2020).