CakeResume 找人才
最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
職場能力評價定義
張詠翔 (Sean Chang)
Sr. Data Scientist
Sr. Data Scientist at KKLab, KKBOX Group
Taipei, Taiwan
技能
ML Fundamentals
- tree-based models (bagging, boosting)
- NLP-related models (LM, NER, SA, ...)
Programming Languages
- Python
- JavaScript
- Scala
- Go
Frontend
- React
- React Native
Backend & Database
- Express
- Flask & FastAPI
- SQLAlchemy
- MongoDB
- MySQL
DevOps
- Docker
- Kubernetes
- AWS
- Ansible
- Helm
- GitLab CI
Distributed Computing
- Apache Spark
ML Frameworks & MLOps
- Tensorflow
- Scikit-learn
- Spark ML
- mlflow
- spaCy
Data Visualization
- Plotly
- D3.js
- seaborn
- bokeh
Miscellaneous
- Scrapy & Beautiful Soup
工作經歷
Sr. Data Scientist
KKBOX
四月 2020 - Present
Taipei, Taiwan
- 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 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).
Data Scientist
KKBOX
九月 2018 - 四月 2020
Taipei, Taiwan
- 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.
學歷
2016 - 2018
National Taiwan University
Economics
Thesis: Lyrics- and Audio Features-based Hit Song Prediction
張詠翔 (Sean Chang)
Sr. Data Scientist
Sr. Data Scientist at KKLab, KKBOX Group
Taipei, Taiwan
技能
ML Fundamentals
- tree-based models (bagging, boosting)
- NLP-related models (LM, NER, SA, ...)
Programming Languages
- Python
- JavaScript
- Scala
- Go
Frontend
- React
- React Native
Backend & Database
- Express
- Flask & FastAPI
- SQLAlchemy
- MongoDB
- MySQL
DevOps
- Docker
- Kubernetes
- AWS
- Ansible
- Helm
- GitLab CI
Distributed Computing
- Apache Spark
ML Frameworks & MLOps
- Tensorflow
- Scikit-learn
- Spark ML
- mlflow
- spaCy
Data Visualization
- Plotly
- D3.js
- seaborn
- bokeh
Miscellaneous
- Scrapy & Beautiful Soup
工作經歷
Sr. Data Scientist
KKBOX
四月 2020 - Present
Taipei, Taiwan
- 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 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).
Data Scientist
KKBOX
九月 2018 - 四月 2020
Taipei, Taiwan
- 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.
學歷
2016 - 2018
National Taiwan University
Economics
Thesis: Lyrics- and Audio Features-based Hit Song Prediction