(Yes, just like chia seeds!)

I’m a Data Scientist who thinks like a PM. I love turning data into decisions, not just dashboards. I build end-to-end analytics systems, design metrics that actually matter, and I’m always asking who uses this, what problem does it solve, and how do we make it better?

• Languages: Python, SQL, Java, JavaScript
• Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
• Tools: Jupyter, Looker Studio, Tableau, Datawrapper, Excel
• Databases: MySQL, Snowflake, MongoDB, Neo4j, MS Access
• Other: ETL, A/B Testing, Data Modeling
• Product & Collaboration: Notion(content/ project pipelines), Kanban / sprint planning

• Business Analytics Scenarios

  • Ad-hoc SQL analyses for 5 realistic business scenarios using a 100K+ order e-commerce dataset.
  • Includes seller performance audits, late delivery investigation, campaign ROI measurement, and customer value. Showcases realistic, business‑focused SQL work.

• COVID Analytics

  • Recreated my work from IBM.
  • Defined key public health metrics (e.g., positivity rate, 7-day averages, hospitalization trends) to better reflect real-world conditions and support decision-making.
  • Automated COVID‑19 reporting pipeline with data cleaning, validation, and KPI calculations (7-day moving averages, test positivity, trends).
  • Reduced reporting time by 80% (3-4 hours → 15 minutes) in production.

Case studies written from a product point of view: how I use data, user understanding, and iteration to build and improve products.

• InfosecDecompress podcast – content as a product, 0 to 1 education product in Mandarin
• COVID Analytics Automation – data product for internal stakeholders, research partners, and public dashboards
• Scratch Jr course (in progress) – Mandarin programming course for kids, from classroom format to online curriculum

👉 Product case studies

📫 Let's connect: cjcwork1@gmail.com

all projects are made with ✨ + 🌿 + 💛 by Chia Chang