Stack
Jupyter
Python
pandas
◆Web analytics
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Case study
Grammy analytics
- Recording Academy
- Web performance
- Audience insight
Official analytics work for Grammy and Recording Academy digital properties: web performance, engagement signals, and narrative-ready charts for stakeholders who need clarity before awards-season traffic spikes.
Preview
Notebooks document the analysis path from raw pulls to chart-ready tables—open the repo for the full story.
Impact
Awards programming concentrates traffic into short, high-stakes windows. These analyses translate messy logs and engagement streams into stable trends: load health, referral mix, device splits, and anomalies worth escalating before show night.
Architecture
Notebooks: reproducible cells from extract through summary stats and visuals, documented for non-engineering readers where it matters.
Data wrangling: pandas-centric transforms with clear naming and intermediate tables for auditability.
Outputs: charts and tables tuned for stakeholder decks and internal review—not one-off screenshots.
Shipped
- Engagement and traffic dashboards grounded in notebook lineage
- Performance-oriented slices for latency and delivery health
- Documentation for assumptions, filters, and caveats
- Exportable assets for executive and ops audiences