Portfolio Project Case Studies Questions

Prepare a set of three to five detailed portfolio case studies that demonstrate breadth and depth across formats, audiences, and technical complexity. For each case study, present the project context and goals, your specific role and team composition, the audience and how you researched their needs, the information architecture and content structure you chose, key design or documentation decisions and tradeoffs, technical challenges you addressed, and the final deliverables or artifacts such as screens, flows, or documentation samples. Quantify outcomes with metrics of success and business or user impact, and reflect on what you would do differently with current knowledge. Use a clear narrative structure such as Situation Task Action Result to explain the problem, your process, the actions you took, and the measurable results. Emphasize strategic thinking, organizational influence, process improvements, mentorship or collaboration contributions, and your ability to simplify complex concepts for target audiences.

HardTechnical

0 practiced

You're asked to include model interpretability artifacts convincing a regulator about a credit-scoring model. Describe a robust set of analyses and visualizations to include (global explanations, local counterfactuals, stress tests, subgroup performance) and how you'd present assumptions and limitations transparently in the case study.

MediumTechnical

0 practiced

Given the schema below, write a SQL query that computes monthly active users (MAU) and conversion rate by signup cohort (month of signup) for the last 12 months. Schema: users(user_id, created_at DATE); events(event_id, user_id, event_type, occurred_at DATE). Define conversion as having at least one 'purchase' event in a month.

HardTechnical

0 practiced

How would you measure and communicate long-term business impact of a data product in a case study when primary business metrics take months to materialize? Propose a framework (leading indicators, intermediate metrics, counterfactuals) and describe sample visualizations to support claims while acknowledging uncertainty.

HardSystem Design

0 practiced

Design a scalable interactive demo architecture (embedded in a case-study page) that runs model inference for visitor-provided input without exposing the production model or sensitive data. Address security (rate limiting, sandboxing), cost controls (caching, throttling), and fallbacks (static examples). List the components and the tradeoffs.

EasyTechnical

0 practiced

Describe how you would tailor the same case study for two distinct audiences: a) a technical hiring manager (ML engineer/data scientist) and b) a product manager. For each audience explain which artifacts, depth of metrics, visualizations, and code samples you'd include or omit.

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