Tiffany Chen
About Tiffany Chen
Tiffany Chen is a Marketing and Data Management Intern currently working at Mead & Hunt, with a background in business development and analytics. She holds multiple master's degrees and has experience in various roles, including internships at Microsoft and Azuro Republic.
Work at Mead & Hunt
Tiffany Chen currently serves as a Marketing and Data Management Intern at Mead & Hunt, a position she has held since 2023. In this role, she focuses on enhancing data management processes and marketing strategies. Her contributions include generating monthly database reports that have led to a 15% improvement in project selection and resource allocation. Tiffany's work is integral to the company's efforts in optimizing marketing initiatives and ensuring data accuracy.
Previous Experience in Marketing and Business Development
Before her current role, Tiffany gained valuable experience as a Business Development Intern at Azuro Republic in 2020, where she worked for one month in Taipei City, Taiwan. She also held a position as a Marketing Operations Intern at Microsoft from 2020 to 2021, contributing to marketing strategies in the same city. Additionally, she worked as a Research Assistant at the Institute for Information Industry in 2018, further developing her skills in data analysis and research.
Education and Expertise
Tiffany Chen holds a Master's degree in Business Analytics from the University of Wisconsin-Madison, which she completed from 2022 to 2023. Prior to this, she studied International Marketing and Business Development at SKEMA Business School, earning a Master's degree (Exchange) in 2020. She also holds two Bachelor's degrees from National Taipei University in Public Administration and Economics, achieved between 2016 and 2021. Tiffany has expertise in various analytics tools, including Power BI, Tableau, and advanced Excel functionalities.
Technical Skills and Analytical Techniques
Tiffany applies a range of statistical techniques in her analytics projects, including hypothesis testing, ANOVA, and machine learning models such as linear regression and random forest. She utilizes cloud platforms like AWS, Azure, and Google BigQuery for data management and analysis. Her efforts have enhanced data accuracy and integrity by 40% through the population of missing information in a database of over 500 company projects.
Peer Advisory Role at University of Wisconsin-Madison
In 2023, Tiffany served as a Peer Advisor at the University of Wisconsin-Madison for four months. In this role, she provided guidance and support to fellow students, leveraging her academic and practical experiences in business analytics and marketing. This position allowed her to further develop her communication and mentorship skills within an academic setting.