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最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
- 検索結果をすべて閲覧
- 新しい会話を無制限に始められます
- 有料企業にのみ履歴書を公開
- ユーザーのメールアドレスと電話番号を確認
Definition of Reputation Credits
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