(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
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Ecommerce Business Analytics Five ad-hoc business analyses on real e-commerce data (seller performance audits, late delivery investigation, campaign ROI, and customer segmentation) each with stakeholder framing and actionable recommendations, not just query results.
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COVID Analytics Automation Automated COVID-19 reporting system recreated from IBM work that covers metric design decisions, data integration across 5 sources, and pipeline automation that cut report generation from 3–4 hours to 15 minutes.
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Pricing Data Integration Multi-source pricing consolidation for a grocery delivery platform, resolving conflicts across Campaign, NonCampaign, Special Discount, and List Price sources using a priority logic system.
Case studies written from a product perspective: 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 (product perspective of the previous project) – 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
📫 Let's connect: cjcwork1@gmail.com
all projects are made with ✨ + 🌿 + 💛 by Chia Chang