Wistron ITS
Project data scientist
2022/11/01 - present
Taipei, Taiwan
Custom Recommendation System - Two Tower Model: Developed a customized Two Tower recommendation model to enhance the accuracy and user experience of the recommendation system.
Optimizing Recommendation System - DeepFM Model: Modified and retrained the DeepFM model, significantly improving model performance through detailed adjustments and data analysis.
Reorganizing Data Pipeline on Google Cloud Platform: Optimized data processing workflows on Google Cloud Platform to enhance data processing efficiency and reliability.
Developing Text Mining Algorithms: Implemented new word discovery, word segmentation cleaning, TextRank, and other text mining technologies to support business needs and data analysis.
Language Model and Word Embedding Applications: Utilized tools such as CKIP, fastText, Word2Vec, and DeepCTR for sentence decomposition and analysis.
Python Crawlers: Responsible for designing and optimizing crawler strategies to improve data crawling efficiency and quality.
Database Management: Managed MySQL and MongoDB databases, ensuring data integrity and reliability.
Maintaining Asynchronous Golang API: Accountable for the maintenance of Golang APIs to boost system performance.
Designed and developed a system for academic paper comparison.
DeepAR Model and Timeseries Data Processing: Engaged in projects involving the DeepAR model and processing of time series data.
2021/06/15 -2022/10/05
Taipei, Taiwan
Applying Algorithms for Time Series Analysis: Utilized Generalized Additive Models (GAM) and AutoRegressive Integrated Moving Average (ARIMA) models for time series analysis to forecast inventory needs and sales trends for each store.
Multi-Model Classification Application: Set up an automated product labeling system using various classification models (XGBoost, Random Forest, etc.), comparing the performance of each to automatically select the most suitable model for product tagging.
Participation in Recommendation System Algorithm Development: Contributed to the development of recommendation system algorithms to enhance the accuracy and user experience of the recommendation system.
AWS Cloud Service Management:
Wistron ITS
Project data scientist
2022/11/01 - present
Taipei, Taiwan
Custom Recommendation System - Two Tower Model: Developed a customized Two Tower recommendation model to enhance the accuracy and user experience of the recommendation system.
Optimizing Recommendation System - DeepFM Model: Modified and retrained the DeepFM model, significantly improving model performance through detailed adjustments and data analysis.
Reorganizing Data Pipeline on Google Cloud Platform: Optimized data processing workflows on Google Cloud Platform to enhance data processing efficiency and reliability.
Developing Text Mining Algorithms: Implemented new word discovery, word segmentation cleaning, TextRank, and other text mining technologies to support business needs and data analysis.
Language Model and Word Embedding Applications: Utilized tools such as CKIP, fastText, Word2Vec, and DeepCTR for sentence decomposition and analysis.
Python Crawlers: Responsible for designing and optimizing crawler strategies to improve data crawling efficiency and quality.
Database Management: Managed MySQL and MongoDB databases, ensuring data integrity and reliability.
Maintaining Asynchronous Golang API: Accountable for the maintenance of Golang APIs to boost system performance.
Designed and developed a system for academic paper comparison.
DeepAR Model and Timeseries Data Processing: Engaged in projects involving the DeepAR model and processing of time series data.
2021/06/15 -2022/10/05
Taipei, Taiwan
Applying Algorithms for Time Series Analysis: Utilized Generalized Additive Models (GAM) and AutoRegressive Integrated Moving Average (ARIMA) models for time series analysis to forecast inventory needs and sales trends for each store.
Multi-Model Classification Application: Set up an automated product labeling system using various classification models (XGBoost, Random Forest, etc.), comparing the performance of each to automatically select the most suitable model for product tagging.
Participation in Recommendation System Algorithm Development: Contributed to the development of recommendation system algorithms to enhance the accuracy and user experience of the recommendation system.
AWS Cloud Service Management: