Benjamin Dang
About Benjamin Dang
Benjamin Dang is a Data Analyst currently engaged in a virtual internship at KPMG Australia, where he has worked since 2020. He previously held various roles at Deakin University, including Junior Consultant and Business Support Administrator, and has a strong academic background in Commerce and Information Systems.
Work at KPMG Australia
Currently, Benjamin Dang serves as a Data Analyst in a virtual internship at KPMG Australia, a position he has held since 2020. In this role, he has participated in significant projects, including a collaboration with the KPMG Lighthouse & Innovation team. This project involved analyzing customer transactional, geographic, and demographic data for Sprocket Central Pty Ltd. His work contributes to KPMG's focus on leveraging data analytics to drive business insights and innovation.
Previous Experience at Deakin University
Benjamin Dang has held multiple positions at Deakin University. He worked as a Junior Consultant in the Australian Business Consultancy Program for four months in 2020. Prior to that, he was a Business Support Administrator from 2019 to 2020, where he contributed to various administrative tasks. Additionally, he served as a Strategic Asset Management Intern for two months in 2019. These roles provided him with a solid foundation in business consultancy and support.
Education and Expertise
Benjamin Dang studied at Deakin College, where he earned a Diploma of Commerce from 2016 to 2017. He then pursued higher education at Deakin University, obtaining a Bachelor of Commerce and a Bachelor of Information Systems from 2017 to 2020. His academic background in finance and data science equips him with the necessary skills for data analysis and business consultancy.
Data Analysis Projects
Throughout his career, Benjamin Dang has engaged in various data analysis projects. Notably, he developed a dashboard with visualizations to present insights for a medium-sized bikes and cycling accessories organization. He also participated in initial data cleansing and exploration of age distribution as part of a data analysis project. These experiences highlight his ability to translate complex data into actionable insights.