Private Reports, Public Methods
Client-facing report contents are kept private, while the website can describe the analysis design, automation patterns, and kinds of questions answered.
Selected work includes analytics systems, private report pipelines, research support, and reusable reporting workflows. Client reports and raw datasets stay private; the entries below describe the public-safe shape of the work, the methods used, and the kinds of decisions the systems support.
| Title | Description |
|---|---|
| Anime News Network Analysis | A side project to find trends in Anime News Networks reporting |
| Creator Performance Dashboard Sample | An example automated dashboard for creator analytics, showing how video performance, content-type comparisons, audience-facing outcomes, charts, tables, and interpretation notes can be organized into a readable report structure. |
| Creator Performance Report Sample | An example automated report for creator analytics, showing how video performance, content-type comparisons, audience-facing outcomes, charts, tables, and interpretation notes can be organized into a readable report structure. |
Client-facing report contents are kept private, while the website can describe the analysis design, automation patterns, and kinds of questions answered.
Workflows use documented entry points, repeatable render scripts, source notes, validation checks, and stable output folders.
Quantitative performance data is paired with text classification, transcript coding, and plain-language explanation.