> Source URL: /case-studies.index
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# Case Studies

Project write-ups for applied data, AI research, and coursework. Each case study should make the work easy to scan: problem, role, methods, artifact, and next step.

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# Featured Case Studies

## Pathwright AI Research & Data Science

An internship-style case study template for adaptive learning experiments, model evaluation, and stakeholder reporting.

[Open case study](./pathwright.casestudy.md)

## Math and the Mouse

A course-project case study for turning weekly learning artifacts into a public research and reflection trail.

[Open case study](./matm.casestudy.md)

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# Case Study Template

Use this structure when adding future projects:

- Context: who the work served and why it mattered.
- Role: what Tram owned directly.
- Question: the decision, model behavior, or pattern being investigated.
- Data and tools: datasets, libraries, notebooks, dashboards, or systems used.
- Approach: the analysis, experiment, or build steps.
- Artifact: chart, dashboard, report, notebook, prototype, or public link.
- Result: what changed, what was clarified, or what became possible.
- Next step: what would make the project stronger with more time.

## Example Placeholder: Healthcare Utilization Dashboard

Context: a data visualization project focused on making utilization patterns easier to compare across patient groups, time periods, or locations.

Possible artifacts:

- Tableau dashboard screenshot.
- One paragraph explaining the main design choice.
- A short methods note on cleaning, grouping, and validating the data.

## Example Placeholder: Water Quality Modeling

Context: a geospatial analysis project using environmental data to understand risk patterns and communicate uncertainty.

Possible artifacts:

- Map or model-output image.
- Feature list and model evaluation summary.
- Plain-language explanation of what the model should and should not be used for.


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## Backlinks

The following sources link to this document:

- [Case studies](/index.path.llm.md)
