Experience:

• 5-year + of experience in data analytics projects working on e-commerce, telecommunication, logistics, and supply chain management at eBay Germany and Viettel
• Senior Big Data Analyst (SBDA™) certificated by Data Science Council of America (DASCA) (2022 – 2027)
• International: Guest speaker at the seminar of AKGN, Germany; Women in Data Science in Stillwater Oklahoma 2023 – USA
• Vietnam:
  • Guest speaker at Hackathon Shecodes; WiDS Hanoi 2023 – Vietnam
  • Guest speaker for some talk shows at National Economics University (NEU), Foreign Trade University (FTU HCM), Hanoi University of Science & Technology (HUST), Hanoi School of Business and Management (HSB, VNU)
  • Member of the Judging Committee for Busitech Bootcamp 2023 (FTU & HUST), G’Contest 2023 (FTU), DAZONE (FTU HCM)
  • Lecturer in Data Analytics Course at AI4E

Trends of Big Data Analytics and Use Cases in the Tax and Financial Sector

Big Data Analytics is driving significant transformation in the tax industry. Instead of relying on traditional data, the industry is using big data and machine learning technology to create opportunities and address challenges. Opportunities include optimizing tax processes, helping businesses and individuals minimize tax costs, and reducing tax risks. Machine learning and artificial intelligence are applied to detect tax fraud, assess tax credit scores, determine tax havens for businesses, and forecast taxes to help taxpayers estimate future tax costs. However, processing and storing large amounts of data require complex systems and infrastructure. To realize these opportunities, the industry needs personnel with tax knowledge and data analysis skills.