Ms Nguyen Thi Quynh Nhu

Lecturer

Email: nhu.nguyen@eiu.edu.vn

Ms Nguyen Thi Quynh Nhu is a lecturer specializing in Business Analytics. She holds both a Master of Business Administration and a Bachelor’s degree in International Business from RMIT Vietnam. With an internationally oriented educational background and teaching experience in data analytics, she focuses on helping students understand and apply data as a critical tool for management and business decision-making.

In her teaching, she is responsible for courses related to data visualization using Power BI and statistics for data analysis, emphasizing the integration of theoretical knowledge with real-world applications. By sharing professional insights and guiding students through hands-on practice with real datasets, she aims to develop their analytical thinking, information evaluation skills, and data-driven decision-making capabilities.

Guided by a learner-centered educational philosophy, she is dedicated to knowledge sharing and mentorship, supporting students in building professional mindsets, a strong sense of responsibility, and sustainable career development in the fields of data analytics and business.

  • Master of Business Administration, RMIT University, Vietnam
  • Bachelor of International Business, RMIT University, Vietnam
  • Business Intelligence
  • Consumer Bbehaviour

Bui, T. D. N. N., Tran, T. G., & Nguyen, T. N. (2025, June). Unveiling Customer Perceptions of Historical Tourism Sites: A Case Study of Cu Chi Tunnels. In Bio-Inspired Computing: Proceedings of the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) held during December 14-15, 2023, Volume 3: Information Retrieval and Applications (Vol. 1230, p. 252). Springer Nature.

Bui, N. N., Nguyen, T. N., Tran, T. G., Dang, T. D., & Dang, N. T. (2024, November). Topic Modelling and Sentiment Analysis of Visitor Experience at Historical Tourism Sites. In International Conference on Intelligent Systems and Data Science (pp. 319-326). Singapore: Springer Nature Singapore.

Ms Nguyen Thi Quynh Nhu

Lecturer

Email: nhu.nguyen@eiu.edu.vn

Ms Nguyen Thi Quynh Nhu is a lecturer specializing in Business Analytics. She holds both a Master of Business Administration and a Bachelor’s degree in International Business from RMIT Vietnam. With an internationally oriented educational background and teaching experience in data analytics, she focuses on helping students understand and apply data as a critical tool for management and business decision-making.

In her teaching, she is responsible for courses related to data visualization using Power BI and statistics for data analysis, emphasizing the integration of theoretical knowledge with real-world applications. By sharing professional insights and guiding students through hands-on practice with real datasets, she aims to develop their analytical thinking, information evaluation skills, and data-driven decision-making capabilities.

Guided by a learner-centered educational philosophy, she is dedicated to knowledge sharing and mentorship, supporting students in building professional mindsets, a strong sense of responsibility, and sustainable career development in the fields of data analytics and business.

  • Master of Business Administration, RMIT University, Vietnam
  • Bachelor of International Business, RMIT University, Vietnam
  • Business Intelligence
  • Consumer Bbehaviour

Bui, T. D. N. N., Tran, T. G., & Nguyen, T. N. (2025, June). Unveiling Customer Perceptions of Historical Tourism Sites: A Case Study of Cu Chi Tunnels. In Bio-Inspired Computing: Proceedings of the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) held during December 14-15, 2023, Volume 3: Information Retrieval and Applications (Vol. 1230, p. 252). Springer Nature.

Bui, N. N., Nguyen, T. N., Tran, T. G., Dang, T. D., & Dang, N. T. (2024, November). Topic Modelling and Sentiment Analysis of Visitor Experience at Historical Tourism Sites. In International Conference on Intelligent Systems and Data Science (pp. 319-326). Singapore: Springer Nature Singapore.