Wei-Chun Chang (Marcus)

Data Scientist at Rakuten JP

Data Scientist building tools based on business requirements saving 60% of repetitive tasks and satisfying 80% of our projects; optimizing customers’ marketing performance, proposing bundle sales to raise revenue. 

 

Professional Skills


Skills

Machine Learning, NLP, Data Analysis, Software Development, AB Testing, Business Intelligence, Digital Marketing Project Management, Problem Solving, Experiment Design

Tools

Python, SQL, Tableau, R, Hive, PySpark, Google Cloud Platform, Git, JIRA

Certificates

  • DataCamp: Deep Learning with Python, Machine Learning Scientist with Python
  • Coursera: Master Statistics with R
  • Udacity: Data Scientist Nanodegree, Data Analyst Nanodegree
  • TOEFL iBT 102

Related Course

  • National Chengchi University: Business Analytics with R, Statistics, Machine Learning, Statistics Management of Information System
  • Udacity: Software Engineering, OOP
  • Coursera: Mathematics for Machine Learning

  • DataCamp: NLP using Python, Machine Learning

  • Kaggle: Advanced SQL, ML Model Explainability, Natural Language Processing


Work Experience

Jun 2020 - Present

Data Scientist

Rakuten, Tokyo, Japan

  • Defined and Built Machine Learning Models with feature explainability for business clients digital marketing strategy using Python and Hadoop
  • Developed internal tools to simplify repetitive routines saving 60% of time and can satisfy 80% of our projects using Python, Git, and JIRA
  • Proposed solutions to Executives of a multinational consumer electronics company and raised over 10x budget for the with Data Marketing project

Nov 2018 - May 2020

Marketing Specialist - Analyst

Amazon, Taipei, Taiwan

  • Established reports in ETL system for business reviews using SQL saving 95% of time
  • Built-up dashboards for metrics tracking using Salesforce and Tablea
  • Developed automatic data collection tools and data transformation software for the Salesforce database, saving 90% of the time

Oct 2017 - Dec 2017

IT Intern

Inditex, Taipei, Taiwan

  • Cooperated with business users to understand processes and requirements.

    Organized application test cases and facilitated test sessions (for technical tests, UATs)

  • Gathered local system errors, reported to headquarter in a professional way and followed up

  • Assisted the manager to adopt the tax refund system

Jul 2017 - Aug 2017

Product Manager Intern

HTC, Taipei, Taiwan

  • Developed a product go-to-market strategy in a cross-culture and cross-functional team
  • Established VR product proposal, approved by international head for the product launch

Aug 2016 - Jan 2017

IT Intern

DHL, Taipei, Taiwan

  • In charge of IT call center, reducing 50% manual work by data analysis and AB Testing
  • Developed and Proposed new framework of log, automating routines using Excel VBA
  • Managed the team of interns and demonstrated leadership

Educational Background

National Chengchi University

B.S. Management of Information Systems, Sep 2013 - Jan 2018

  • Took 5th place in the department during the 2017 spring semester

Minor in Supply Chain Management, Sep 2016 - Jan 2018

  • Won scholarship and was selected to join MBA trip to Tokyo as the only undergraduate

Extracurricular Activity

Cultural Ambassador of NCCU, Feb 2017 - Jun 2017

  • Guided them to learn Chinese and meanwhile learned the difference between our cultures
  • Assisted exchange students with their problems and got familiar with the Taiwanese culture       

Hip Hop Instructor of Dance Club, Jun 2014 - Jan 2018

  • Guided a group of freshmen to hold a show with 2,000+ audience

  • Represented NCCU joining national college dance group contest and ended up top 4   

Top 12 at Civil IoT Data Application Competition, Mar 2019 - Dec 2019

Here's a bit more about myself


Podcast interview about myself

🎧 科技職涯 Talent Connect

S2EP19 | 從 Marketing 到 Data Scientist,日本樂天資料科學家 Marcus 的 Amazon 經驗與跨領域歷程

Check out my career story

How I earn work experience first, then get a Data Scientist job?

I wrote this article to record and share my experience. Feel free to let me know your feedback!