- Using ETL tools such as dbt (Data Build Tool) and Prefect 2.0 (Orchestration Tool) for automating the CI/CD development in data warehouse and maintain database pipeline architectures. - Transform datasets into valuable insights that align with business needs to assist company decision-making. - Collaborate with data analysts to solve data quality and integration issues, using MySQL syntax to retrieve data under complex conditions.

This project is implemented by Talent Circulation Alliance (人才循環交流推動計劃), hosted by Ministry of Economic Affairs and Ministry of Digital Affairs at Taiwan. The project has been honored with Outstanding Award (特選) at Global Digital Talent Awards 2022. • Project Title: Risk Prediction Platform for Freeways: Big Data Analysis for Bus Company Driver Behavior • Project Description: This project aims to use data science techniques, such as Artificial Intelligence (AI) and Machine Learning (ML), to analyze driving behavior data generated from multiple sources. The analysis results would help managers of public transit companies and bureau of transportation to develop corresponding transportation safety strategies.

With insights of enormous and complicated digital transaction records, as well as assessments of information environment where business operation and management procedure take place, several measures are taken to achieve descriptive and predictive goals of information technology audit.

Records, edits and publishes speeches and courses taken place in NTU campus.

Provides information center inquiry services and assists with scheduling and organizing events.