incoming mails every week using Text vectorization (NLP) and SGD classifier. - Identifying 78% of the booking and voucher frauds using a random forest anomaly detection model. - Created a RASA chatbot to help customers find answers to booking related questions and requests. Data Scientist • Fraunhofer, Paderborn FebruaryJulyDeep Q-learning to train an autonomous car to navigate in an Industry 4.0 environment. - Statistical and deep learning models for low latency (~3.8s) anomaly detection on acquired sensor data. - Developed, tested, deployed, and managed continuous delivery and automation pipeline for this solution. - Interactive visual

廖柏錩 Richard 擁有豐富的前端工作經驗約 6 年，目前任職於昕力資訊擔任前端工程師，負責前端網站規劃與開發，使用 React 框架 (2018~2021) 開發過形象官網和一些後台系統，使用 Angular (2021年至今) 開發金融人壽相關系統，熟悉前後端分離，由前端串接後端 API。 前端