Chevonne Cheung

Machine Learning Operations Analyst at Chattermill

Chevonne Cheung has worked as a Machine Learning Operations Analyst at Chattermill since 2022, an Operations Analyst at Urb-it since 2021, a Project Officer at Alzheimer's Research UK since 2021, and a Machine Learning Data Analyst at Amazon from 2019 to 2021. At Amazon, their role included analyzing and processing large volumes of data for multiple workflows, ensuring high-quality data was delivered to customers, and leading a team of 10 Data Analysts to deliver set amounts of data on a weekly basis.

Chevonne Cheung's education history includes a Bachelor's degree in History from Queen Mary University of London, which they obtained between 2015 and 2018. Chevonne has also obtained various certifications from institutions such as DataCamp, Data Science Dojo, and LinkedIn, including Data Manipulation with Pandas, Intermediate Python, Python Data Science Toolbox (Part 1), Python Data Science Toolbox (Part 2), Introduction to Data Science in Python, SQL for Beginners, Project Management Foundations: Risk, Project Management Foundations: Schedules, Project Management Tips, Power BI: Dashboards for Beginners, Change Management Foundations (2016), Leading Productive Meetings, Learning Minitab, Operational Excellence Work-Out and Kaizen Facilitator, Project Management Foundations: Communication, Project Management Foundations: Teams, Six Sigma: Green Belt, Statistics Foundations: 2, Statistics Foundations: 3, and Operational Excellence Foundations.

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