Sunny Huang
About Sunny Huang
Sunny Huang is a Regional Total Rewards Analyst at Bristol Myers Squibb in Melbourne, with a background in human resources and data analytics.
Current Role at Bristol Myers Squibb
Sunny Huang currently works as a Regional Total Rewards Analyst at Bristol Myers Squibb in Melbourne. In this role, Sunny utilizes expertise in data analytics and human resources to manage and analyze total rewards programs. Specific responsibilities include data manipulation and cleaning using Python and Pandas, employing web scraping techniques, and utilizing API connections for data collection. Sunny also uses PostgreSQL and SQLite for data storage and retrieval, and conducts exploratory data analysis to generate actionable insights.
Previous Experience at General Assembly
In 2021, Sunny Huang participated in a Data Analytics Immersive program at General Assembly in Melbourne, Victoria, Australia. Over 11 months, Sunny completed a full-time, intensive course that covered Python, data wrangling, web scraping, Tableau, SQL, and machine learning. The program culminated in practical applications of supervised regression and classification models, preparing Sunny for advanced data analytics roles.
Human Resources Management Experience
Sunny Huang has extensive experience in human resources management. From 2019 to 2020, Sunny served as a Senior Human Resources Manager at PBX Enterprises Pty Ltd. Prior to this, Sunny worked as a Human Resources Specialist at Ausky Group Holdings Pty Ltd. from 2018 to 2019. Sunny also has a long tenure as a Human Resources Manager at Generali China Life, where Sunny worked from 2005 to 2018 in Shenzhen, China. This accumulated experience has furnished Sunny with a robust skill set in HR management, including team leadership and performance optimization.
Educational Background
Sunny Huang holds a Bachelor's degree in Statistics with a focus on Actuarial and Accounting from Jinan University. Sunny further enhanced data analytics skills through a Data Analytics Immersive program at General Assembly in Melbourne. This course emphasized Python, data wrangling, web scraping, Tableau, SQL, and machine learning. These qualifications provide Sunny with a strong foundation for handling complex data analytics tasks in professional settings.
Key Skills and Technical Proficiencies
Sunny Huang is proficient in multiple programming and data analysis tools. These include Python and Pandas for data manipulation and cleaning, web scraping techniques, and API connections for data collection. For data storage and retrieval, Sunny utilizes PostgreSQL and SQLite. Analytical techniques such as exploratory data analysis and hypothesis testing are employed to generate insights. Sunny also applies supervised regression and classification models in various data analysis tasks. Additionally, Sunny is fluent in English, Mandarin, and Cantonese, enhancing communication and collaboration capabilities in diverse environments.