Qi (Maggie) Mai
About Qi (Maggie) Mai
Qi (Maggie) Mai is an Analytics Engineer at ACV Auctions in Toronto, Ontario, specializing in data cleaning and feature engineering since 2020. She holds a Master's degree in Computational Mathematics and has experience as a Research Assistant and Data Analyst.
Work at ACV Auctions
Qi (Maggie) Mai has been employed as an Analytics Engineer at ACV Auctions since 2020. Based in Toronto, Ontario, Canada, she has accumulated four years of experience in this role. Her primary focus is on data cleaning and feature engineering, dedicating over 80% of her work time to these essential tasks. This specialization highlights her commitment to ensuring data quality and integrity in analytics processes.
Education and Expertise
Qi (Maggie) Mai holds a Master's degree in Computational Mathematics from the University of Waterloo, which she completed from 2018 to 2019. Prior to this, she earned a Bachelor of Mathematics (BMath, Hons.) in Statistics, Combinatorics, and Optimization from the same institution, studying from 2014 to 2018. Additionally, she participated in an Exchange Program at The Australian National University in 2016, where she studied Statistics for 11 months.
Background in Research and Data Analysis
Before her current position, Qi (Maggie) Mai worked as a Research Assistant at the University of Waterloo for two separate periods: from 2017 to 2018 and from 2018 to 2019. In 2019, she also served as a Data Analyst at FairVentures for three months. These roles provided her with valuable experience in research methodologies and data analysis, contributing to her analytical skills.
Data Quality Principles
Qi (Maggie) Mai emphasizes the importance of data quality in her work, adhering to the principle of 'Garbage in, garbage out.' This principle underscores her belief that the accuracy and reliability of data are critical to effective analysis and decision-making. Her focus on data cleaning and feature engineering reflects her commitment to maintaining high standards in data management.