Wendy Zhang

Wendy Zhang

Machine Learning Engineer @ Armilla AI

About Wendy Zhang

Wendy Zhang is a Machine Learning Engineer at Armilla AI in Toronto, Ontario, Canada, where she has worked since 2021. She previously held the position of Technical Data Quality Analyst at Exiger from 2018 to 2021 and earned a Bachelor's degree in Financial Mathematics from the University of Waterloo.

Work at Armilla AI

Wendy Zhang has been employed as a Machine Learning Engineer at Armilla AI since 2021. In this role, she focuses on developing and implementing machine learning models and algorithms to enhance the company's AI capabilities. Her work contributes to the advancement of innovative solutions in the field of artificial intelligence. Armilla AI is based in Toronto, Ontario, Canada, where Wendy continues to apply her expertise in machine learning.

Previous Experience at Exiger

Before joining Armilla AI, Wendy Zhang worked at Exiger as a Technical Data Quality Analyst from 2018 to 2021. During her tenure at Exiger, she was responsible for ensuring the integrity and quality of data used in various analytical processes. This position allowed her to develop a strong foundation in data analysis and quality assurance, which she later applied in her machine learning endeavors.

Education and Expertise

Wendy Zhang earned her Bachelor's degree in Financial Mathematics from the University of Waterloo, where she studied from 2014 to 2018. This educational background provided her with a solid understanding of mathematical principles and their applications in finance and technology. Her studies have equipped her with the analytical skills necessary for her current role in machine learning.

Background

Wendy Zhang is based in Toronto, Ontario, Canada. She has built her career in the technology sector, focusing on machine learning and data analysis. Her professional journey reflects a commitment to leveraging data-driven insights to solve complex problems. Wendy's experience spans various roles that have contributed to her expertise in the field.

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