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In progress Project 3 Group project · DSC 450 My role: Data Scientist

Recycling Contamination Risk Predictor

[One or two sentences: the business problem, why it matters, and what the team is testing.] Full case study goes live at the end of Week 11.

This page is a wireframe for Portfolio Milestone 1 — it mirrors Project 1's layout so the final write-up can drop straight in once Project 3's sprint (Weeks 9–11) is finished.

Business Problem

[Section title: the problem in plain language]

[Business problem / hypothesis]

[Why recycling contamination matters, and what question this project answers.]

Methods

[Section title: data & approach]

[ ][records analyzed]
[ ][features / predictors]
[ ][target variable]
[ ][model(s) used]

[Data source, cleaning steps, feature engineering, train/test split approach.]

Results

[Section title: what the model found]

[Model performance summary and the single most important takeaway, in plain language.]

Recommendations & Ethical Considerations

Who this affects — and where it could go wrong

Stakeholder impact

[Who uses this, and what's the risk if they over-rely on it?]

Data assumptions & bias

[What does the model assume about the data, and where could that go wrong?]

Conclusion

[Section title: back to the business problem]

[Ties the result back to the original business problem, plus next steps.]

Presentation & Resources

[Notebooks, write-up, recorded presentation]

Links to the notebook(s), PDF write-up, Milestone 3 slide deck and recording will go here, matching Project 1's layout.