張詠翔 (Sean Chang)

Sr. Data Scientist

Sr. Data Scientist at KKLab, KKBOX Group

  Taipei, Taiwan

https://www.seanchang.space         

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

Powered by CakeResumePowered by CakeResume