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Sean Chang
Sr. Data Scientist
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Sean Chang

Sr. Data Scientist
Sr. Data Scientist at KKLab, KKBOX Group
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TSMC 台積電
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National Taiwan University
Taipei, Taiwan

Professional Background

  • Current status
    Employed
    Not open to opportunities
  • Profession
    Data Engineer
    Data Scientist
    Software Engineer
  • Fields
    Software
    Semiconductor
  • Work experience
    2-4 years (4-6 years relevant)
  • Management
    I've had experience in managing 1-5 people
  • Skills
    Python
    SQL
    Kubernetes
    Docker
    Time Series Analysis
    Machine Learning
    Deep Learning
    React.js
    Spark
    JavaScript
    Golang
    AWS
    Ansible
    Flask
    Tensorflow
    MongoDB
    Scala
    Web Crawler
    plotly
    Natural Language Processing
    Git
    Scrapy
    Scikit-Learn
    Functional Programming
    Kotlin
    TypeScript
  • Languages
    English
    Fluent
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Full-time
    Not interested in working remotely
  • Desired positions
    Data Scientist
  • Desired work locations
    Taiwan
    Taipei, Taiwan
  • Freelance
    Part-time freelancer

Work Experience

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Software Engineer

TSMC 台積電
Full-time
Mar 2022 - Present
Hsinchu City, Taiwan 300
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Sr. Data Scientist

Apr 2020 - Feb 2022
1 yr 11 mos
- 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).
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Data Scientist

Sep 2018 - Apr 2020
1 yr 8 mos
- 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.

Education

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Master’s Degree
Economics
2016 - 2018
Activities and societies
- Summer Intern at Yuanta Securities: Building trading system by reinforcement learning.
Description
- Thesis: Lyrics and Audio Features-based Hit Song Prediction