Hi! I’m Rachel, a research and data scientist with nine years of comprehensive experience independently conducting, analyzing, and reporting social psychological and behavioural research. I have experience extracting and analyzing complex data using advanced statistical techniques in a variety of programming languages (Python, R, SQL), building ETL pipelines, and presenting data using various reporting tools (Google Data Studio, Mode). I’m skilled in project management, data communication, and experimental design (A/B testing).
As a Ph.D. candidate at the University of Toronto, I study social-moral psychology under the supervision of Dr. Jennifer Stellar. I received my Master of Arts in Psychology degree at the University of Toronto in November 2018 and my Honours Bachelor of Science degree at the University of Toronto in June 2017. I aim to graduate with my Ph.D. December 2022. Learn more about my research here!
Following the completion of my degree, I plan to pursue a career in data science. I have previously worked as a data science intern on the People Analytic’s team at Shopify (2022) and as a data science and engineering intern within wholesale banking at HSBC Canada (2021). I have also been working on numerous hobby projects to help bridge the gap between quantitative academic research and applied data science. Learn more here!
In my personal life, some of my favourite hobbies include: baking, sailing, running, kickboxing, and spending time with my three pets.