Yu-Tzu Lin

三月 2022 - 三月 2024
Taipei, Taiwan

Senior AI Engineer

Advantech 研華科技

• 1, Project Vocal in the IT Department – Served as a project owner and coordinator in the IT team, building up cross-functional communication experience and the project management work experience.
  2. Al Recommendation Tool Deployment – As a project developer, I utilized unsupervised learning techniques such as the PCA model, Collaborative Filtering, and Cosine Similarity, to establish a cloud ETL pipeline in Microsoft Azure ML Studio to support the Al recommendation system for Advantech's PaaS e-commerce platform.
  3. Pricing Strategy Optimization – Worked as a project owner to research and develop a model to evaluate the bargaining power between customers and company. Cooperated with the pricing team to set appropriate prices or discounts and maximize our business and revenue growth.
  4. Lecturer for the Generative Al and OpenAI – Served as an expert lecturer, hosted seminars regarding Generative Al and OpenAl, and acted as the primary IT contact to support cross-functional AI-related issues.
  5. Project coordinator in the Al Strategy Group – As a core member and the project coordinator in the AI strategic group, worked with the management team on AI-related projects and was responsible for all the projects within the AI domain.
  6. Al Forecast Analysis Project – As a project owner, I collaborated with the supply chain team to increase our forecast accuracy. By utilizing advanced programming techniques, we compared the original FCST from the SCM team with the AI forecast model, which helped increase the forecast accuracy and minimize inventory costs.
  7. IT Vocal for Data visualization – As an IT department vocal, I cooperated with the muti-functional team to develop Power Bl and Tableau reports, helping them to make better business decisions.

八月 2021 - 一月 2022
Taipei, Taiwan

Senior Data Scientist

Gamania

• 1. API Integration and Data Reshaping – Used R and Python for web crawling to retrieve data from APIs and then used PostgreSQL to clean and reshape the data, thus determining which games are the most profitable in our company and assisting the business team in making decisions about which games to focus on.
  2. Feature Extraction from Low-Quality Images – Used a machine learning GAN model to extract features from low-quality images, allowing us to identify player preferences and enhance the gaming experience.