Mahdi Feroze
About Mahdi Feroze
Mahdi Feroze is an Analytics Engineer with extensive experience in data analysis and engineering. He has held various roles in organizations such as ACV Auctions and McGill University, where he contributed to research and development in data science and engineering.
Current Role at ACV Auctions
Mahdi Feroze serves as an Analytics Engineer at ACV Auctions, a position he has held since 2021. In this role, he focuses on data analysis and engineering, contributing to the company's analytics capabilities. His work involves managing data processes and ensuring data integrity, which supports the operational needs of the organization.
Professional Experience in Data Engineering
Prior to his current role, Mahdi Feroze worked at JANA Corporation, where he held two positions: Technical Lead for Data and Pipeline Integrity and Data Scientist. His responsibilities included developing Bayesian Belief Network models for pipeline data and implementing SQL algorithms for data integration. He also built ETL pipelines using Azure Data Factory, enhancing data management processes.
Leadership and Founding Experience
Mahdi co-founded TranscendFinals, where he served as President from 2017 to 2019. This e-learning initiative focused on providing educational resources and support. Additionally, he held the position of VP Academic at the Engineering Undergraduate Society of McGill University from 2016 to 2017, where he contributed to academic initiatives and student engagement.
Educational Background
Mahdi Feroze studied at McGill University, where he completed both his Bachelor of Engineering (BEng) and Master of Engineering (MEng). His education provided a strong foundation in engineering principles and analytics, which he has applied throughout his career in various technical roles.
Research Experience at McGill University
Mahdi worked at the Plasma Processing Laboratory at McGill University as a Research Engineer and Lab Manager from 2017 to 2019. He also served as an Undergraduate Research Assistant from 2015 to 2017. His research involved developing algorithms for detecting pipeline defects and managing laboratory operations, contributing to advancements in engineering research.