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Taipei, Taiwan
Avatar of 呂學炘.
Avatar of 呂學炘.
Data Science @Alfred Labs.
2017 ~ Present
Within two months
make data-driven decisions. My expertise in designing experiments, streamlining business metrics, and conducting causal inference analyses, significantly streamlined our decision-making process. Product and Marketing Design the experiments and key metrics for hypothesis verification. A/B Test Dashboard, automatically. Unconventional experimental analysis (such as natural experiments, fuzzy RDD, etc.). Optimize the effect of ads and payment pages from 0.8% to 3%. SEO and ASO, increased the number of downloads by about 100% YoY for 3 years. Designed and implemented business metrics. Build revenue modules, such as LTV
Python
R
SQL
4-6 years
University of Taipei
Computer Science

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Definition of Reputation Credits

Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
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Within one month
Sr. Data Scientist
Logo of TSMC 台積電.
TSMC 台積電
2022 ~ Present
Taipei, 台灣
Professional Background
Current status
Employed
Job Search Progress
Not open to opportunities
Professions
Data Engineer, Data Scientist, Software Engineer
Fields of Employment
Software, Semiconductor
Work experience
2-4 years work experience (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
Job search preferences
Positions
Data Scientist
Job types
Full-time
Locations
Taiwan, Taipei, 台灣
Remote
Not interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
National Taiwan University
Major
Economics
Print

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

Resume
Profile

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