Jun 2019 - Present
工作內容:
1.彙整全球面向之產品品質統計與分析報告,並提供品質改善對策
2.負責數據應用專案之時程規劃、需求開發、數據分析、模型建置及API平台建置、linux server管理、報表平台及資料庫維運等
3.支援合作單位數據分析以協助流程或產品品質改善
完成專案1:品質指標監控平台(減少管理者50%的時間)
完成專案2:CPU更換率報表(減少3%更換率)
完成專案3:ML維修料件推薦系統(減少10-20%的誤換率)
完成專案4:自動分析報表派送系統(兩個月提升管理者管理效率)
Using final report data to analyze and visualize front-end and back-end engineers' repairing action so that the company can improve repairing process and product quality.
Professional skill:Build ETL architecture, Data cleansing and preparation in pandas, Web crawler in selenium, Analyze in scikit-learn, visualization in shiny.
•Build monitoring system project: Design Mysql DB and build ETL architecture to extract data from excel file in python. Also build shiny system with my coworker. Boosted Managerial Effectiveness so that managers of headquarters and front-end managers spend less time than before. within 4 months (100% Mysql/Python, 30% R Shiny)