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karen-kaiwen/README.md

Hi, I'm Kai-Wen Huang 👋
Data Analyst | Python · R · SQL · Tableau · Google Apps Script

I build things that turn slow, manual processes into clean, automated workflows.

Background: MSc Mathematics (GPA 4.04/4.3, National Tsing Hua University) · 6 years teaching · Now focused on data analysis and process automation in research and operations environments. A few things I've built:

🔄 R pipeline automating monthly comparison of ~90,000 solar permit records — reduced reporting time by 20-30%
⚡ Google Apps Script system cutting a 1–2 week billing workflow to same-day completion
🐍 Python script for automated document recognition and renaming, reducing a 2-day task by 50%
📊 Tableau dashboard analyzing smart device behavior data to support marketing strategy

Currently: Supporting renewable energy project administration at Taiwan Research Institute — data quality control, case tracking, cross-agency coordination.
Open to: Data Analyst / Business Analyst roles at international companies, in Taiwan or globally.

📧 [karen21103@gmail.com] · 💼 [www.linkedin.com/in/kai-wen-huang]

Popular repositories Loading

  1. karen-kaiwen karen-kaiwen Public

  2. Automated-Enterprise-Billing-and-Design-Asset-Pipeline Automated-Enterprise-Billing-and-Design-Asset-Pipeline Public

    GAS automation that cut a 1–2 week billing workflow to same-day — record matching, Drive folder generation, and Illustrator CSV export.

    JavaScript

  3. solar-permit-tracker solar-permit-tracker Public

    R pipeline that automates monthly comparison of ~90,000 solar permit records, replacing manual Excel filtering and cutting reporting time by 20-30%.

  4. bellabeat-case-study bellabeat-case-study Public

    Analyzed 33 FitBit users' behavior data using R, Python, SQL, and Tableau — uncovering activity patterns and sleep insights to inform Bellabeat's marketing strategy.

    HTML

  5. -PDF-Auto-Rename-Classification-Tool -PDF-Auto-Rename-Classification-Tool Public

    Batch-rename scanned PDFs by OCR-extracted reference numbers, auto-route by issuing agency, and flag unrecognized files for manual review — reducing manual workload by ~60%.

    Python