Projects

Portfolio-ready problems with real data.

Each project is a self-contained scenario — finish in an afternoon, push it to your Github, talk about it in an interview.

SQL

Multi-step SQL investigations against realistic datasets.

Data Modeling

Design exercises — turn a brief into a normalized schema.

ETL / ELT

Ingest, transform, and load patterns you'd ship in production.

Other

Cross-discipline projects that don't fit one bucket.