Shea Cardozo
About Shea Cardozo
Shea Cardozo is a Machine Learning Scientist currently employed at Tenyks in Toronto, Ontario, Canada. With a strong educational background in statistics and applied computing, Cardozo has held various roles in data science and actuarial programming.
Work at Tenyks
Shea Cardozo has been employed at Tenyks as a Machine Learning Scientist since 2022. The role is based in Toronto, Ontario, Canada. In this position, Shea focuses on developing and implementing machine learning models to enhance the company's capabilities in data analysis and decision-making.
Education and Expertise
Shea Cardozo studied at the University of Toronto, where they obtained a Master of Science in Applied Computing from 2021 to 2022. Prior to this, Shea earned a Bachelor's degree in Statistics from the University of Waterloo, studying from 2017 to 2021. Additionally, Shea briefly attended McMaster University for one year in 2016 to 2017.
Background in Data Science
Shea Cardozo has a diverse background in data science, having held various roles in the field. In 2020, Shea worked as a Data Scientist - Claims AI at Intact for three months. Prior to that, Shea completed a Data Science Internship at Noom Inc. in Mississauga, Ontario, also for three months. Shea's experience includes roles as an Actuarial Programmer and Associate Actuarial Programmer at Moody's Analytics in 2018 and 2019, respectively.
Previous Work Experience
Shea Cardozo has held several positions that contributed to their expertise in data analysis and risk management. They worked as a Risk Management QA Analyst at RBC Insurance in 2017 for three months. Shea also served as an Actuarial Analyst at Intact in 2019 for three months, further developing their skills in actuarial science and data analysis.