
Thi Thuy Lan Do
Thi Thuy Lan Do has provided support for multiple customer projects involving product development, contribution calculation, and technical calculation documents. Her responsibilities included:
- Collaborating on creating and improving calculation documents
- Analyzing and conducting market research to update calculation bases
- Developing automated data processing and calculation tools
- Creating validation tools for the validation process
Experience
Before joining Milliman, Thi Thuy Lan Do was a working student at Allianz Private Krankenversicherungs-AG. She held this position in the actuarial department, specifically within the health insurance team. She gained experience in documenting calculations for litigation purposes.
Prior to that, Thi Thuy Lan Do worked as an intern and working student in the field of Automotive AI at msg systems ag for one year. During this time, she focused on creating and customizing intelligent dashboards to providing interactive interfaces for users. She also prepared data using Pyspark, ensuring its suitability for analysis. Additionally, she conducted research and implemented Machine Learning algorithms and frameworks to detect vehicles in images captured by street cameras. Thi Thuy Lan Do also developed algorithms to accurately count the number of passing cars, utilizing the cross-ratio method.
- Bachelor of Science, Studies of business mathematics – actuarial science at the Technical University of Applied Sciences in Rosenheim
- Advanced programming skills in Excel VBA, Python, R, JavaScript, C, and MS Office