Yi-Cheng Wang

Experience

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  淡江大學

  Nov 2019 - Feb 2021

  Research Assistant

  - Quantitative Research Execution: Responsible for the quantitative analysis tasks within the research team, including data collection, preprocessing, statistical analysis, and research report writing. In addition to multivariate analysis methods, graph theory-based bibliometric analysis was also utilized to visualize knowledge graphs.- Research Outcomes Publication: Assisted in the publication of more than 5 journal papers (4 of which are in TSSCI) and over 2 conference papers.- Mastery of Latest Research Methods and Tools: Continuously acquire new knowledge and share it with the research team through workshops.- Project Management: Managed a 3-year Ministry of Science and Technology project, including application, progress management, meeting organization, budget reconciliation, and mid-term review. Also applied for a 1-year postdoctoral research project. 收回

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  宇聯管理顧問有限公司 (Yulian Management Consulting Co.,LTD)

  Jul 2021 - Jun 2022

  Case Manager

  - Writing Psychological Test Analysis Reports: Analyze psychological test results, assess the general mental health of employees in partner companies, and provide health improvement recommendations based on the findings.- Program Performance Evaluation: Assist in the performance evaluation of employee assistance programs, compiling relevant data to serve as a foundation for the next year's planning.- Corporate Case Management: Collaborate with approximately 30 partner companies to assist in case evaluations, psychological assessments, and high-risk case management.- Workplace Mental Health Promotion: Conduct workplace mental health awareness initiatives and co-organize employee mental health seminars. 收回

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  United Daily News Group (UDN)

  Oct 2023 - now

  Algorithm Engineer

  - End-to-End Machine Learning Engineering: Drive the entire lifecycle of machine learning projects, including the development, testing, deployment, performance monitoring, and version iteration of recommendation system models.- Data Engineering: Design and implement ETL data pipelines for machine learning projects, utilizing Apache Airflow, Apache Beam, and Kubernetes to ensure efficient data processing and management, and build dashboards for real-time performance monitoring.- DevOps: Improve development workflows through the adoption of Git Flow, enabling effective version control and streamlined deployment processes.- Cloud Engineering: Architect and deploy services and APIs on Google Cloud, exploring and implementing optimal solutions and infrastructure designs. 收回