Wyena Cheah
About Wyena Cheah
Wyena Cheah is a BI Developer at Browzwear in Kuala Lumpur, Malaysia, with over 8 years of experience in data analysis and statistical analysis. She has a strong background in predictive modeling, data visualization, and holds multiple Microsoft certifications.
Work at Browzwear
Currently, Wyena Cheah serves as a BI Developer at Browzwear, a position she has held since 2022 in Kuala Lumpur, Malaysia. In this role, she focuses on business intelligence initiatives, leveraging her extensive background in data analysis. Her responsibilities include conducting API testing with Microsoft Azure Machine Learning Studio, which enhances the company's data-driven decision-making processes.
Previous Experience in Business Intelligence
Before joining Browzwear, Wyena Cheah accumulated significant experience in business intelligence roles. She worked as a Business Intelligence Manager at AmBank Group from 2017 to 2022, where she managed data analysis projects. Prior to that, she was a Senior Project Executive at Ipsos from 2013 to 2016, and a Senior Data Analyst at Tan Chong Group from 2016 to 2017. This diverse experience has contributed to her expertise in the field.
Education and Expertise
Wyena Cheah has a strong educational background in mathematics and data science. She studied at The University of Texas at Dallas, earning a Bachelor of Science in Actuarial Science from 2010 to 2012. She also attended The University of Texas at Arlington, where she achieved a Bachelor of Science in Mathematics in 2007. Additionally, she studied at Tarrant County College, completing General Studies and earning Transfer Credits from 2004 to 2008. Her education supports her over eight years of experience in data analysis and statistical analysis.
Certifications and Technical Skills
Wyena Cheah holds several Microsoft certifications, including Power BI Data Analyst Associate and Azure Data Scientist Associate. She possesses strong skills in data visualization and dashboard development, with over five years of experience in these areas. Her technical expertise also includes predictive modeling using R or Python, and she utilizes SAS Base/SAS E-Guide for data preparation. These skills enhance her capabilities in the business intelligence domain.
Professional Skills and Competencies
Wyena Cheah demonstrates excellent multitasking and time management skills, particularly in dynamic and high-pressure environments. Her experience in data science and predictive modeling spans over two years, complementing her extensive background in data analysis. These competencies enable her to effectively manage multiple projects and deliver results in her current role at Browzwear.