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受邀至DS Meetup分享 KKBOX 輿情分析系統

Data Science Meetup 演講

Sr. Data Scientist

Sean Chang

2020全國智慧製造大數據分析競賽 - Project B 冠軍

IMBD 2020

社內黑客松
我們打造了一個基於音樂推薦系統的交友軟體
拿到了社內第三名

KKBOX InHouse Hackathon

- Thesis: Lyrics and Audio Features-based Hit Song Prediction

National Taiwan University

TSMC 台積電

Software Engineer

想拓展人脈，以前是做data相關，現在則是全端打雜工 p.s. 已死會

300台灣新竹市

- adapt Aveva PRiSM to a tier 1 company in Taiwan for anomaly detection on their producing pipelines.
- engage in a venture building project related to NLP and develop its search engine, algorithms and models.
- win 1st place in IMBD 2020 which is a competition related to manufacturing.
- maintain and develop KKBOX opinion mining system and sell it to other companies (SAAS).

KKLab, KKBOX Group

- build public opinion mining system by novel NLP models.
  * build novel NLP models such as BERT-BiLSTM-CRF, ConvNet and TNet by TensorFlow.
  * maintain, design NLP pipelines for opinion mining system.
  * build the frontend page which can monitor artist's social volumes by React.
  * build restful api by Flask, gunicorn.
  * deploy this microservice by docker stack (docker-compose)
- maintain app's event log specification and analyze user actions.
- win 3rd place in KKBOX inhouse hackathon. we build a social network app called KKMeet which can recommend you new friends by your music preferences.