Niaz Abedini
About Niaz Abedini
Niaz Abedini is an NLP Data Scientist with a background in Mathematics and Business Administration from the University of Waterloo and Wilfrid Laurier University. He has experience in data science roles across various companies, focusing on autonomous driving systems and machine learning initiatives.
Work at Arteria AI
Niaz Abedini currently serves as an NLP Data Scientist at Arteria AI, a position he has held since 2023. His work focuses on natural language processing, contributing to the development of AI-driven solutions. The role is based in Toronto, Ontario, Canada, and operates in a hybrid work environment.
Education and Expertise
Niaz Abedini completed his undergraduate studies at the University of Waterloo, earning a degree in Mathematics from 2017 to 2022. He also studied Business Administration at Wilfrid Laurier University during the same period. This dual educational background equips him with a strong foundation in both quantitative analysis and business principles.
Background in Data Science
Niaz has accumulated diverse experience in data science through various internships and roles. He worked as a Data Science Intern at Scribd in 2020 and at Embark Trucks in 2022. His responsibilities included creating data pipelines, developing machine learning models, and conducting root-cause failure analyses of machine learning initiatives.
Achievements in Machine Learning
During his tenure at Embark Trucks, Niaz led a root-cause failure analysis of late-stage machine learning initiatives and developed a dimensionality reduction and clustering machine learning model. He also built interactive visual tools to enhance data interpretation and decision-making processes.
Internship Experience
Niaz Abedini has held several internships that contributed to his professional development. He worked as a Business Intelligence Developer Intern at Scotiabank in 2019, an Operations Analyst Intern at Medline Industries, Inc. in 2018, and a Machine Learning Intern at CGI in 2021. These roles provided him with practical experience in data analysis and machine learning applications.