A statement without context
Used Python and SQL for a data project.
What question did the project answer? What did you actually do? Could you explain the result?
Inside the support
Explore how clearer writing, project documentation and focused feedback can improve professional presentation.
A useful CV explains the work, the methods and the limits without inventing commercial impact.
Used Python and SQL for a data project.
What question did the project answer? What did you actually do? Could you explain the result?
Analysed a public dataset using SQL and Python; documented cleaning decisions and presented findings alongside data limitations in a reproducible notebook.
Use wording like this only when it accurately describes your own work.
Does every statement describe work you actually completed and can demonstrate?
A repository becomes more useful when another person can understand, run and evaluate the work.
analysis.ipynb data.csv README: My project
Files exist, but the problem, data source, setup and limitations are unclear.
Connect these sections to the actual code. A polished README is not a substitute for working analysis.
Can someone reproduce the work, and can you explain each major decision?
Practice is most useful when feedback identifies what to keep, what to clarify and what to rehearse.
You identified the problem and explained the method in plain language.
Explain why you chose that method, which alternative you considered and what the limitations are.
Prepare a concise answer using the problem, your contribution, evidence and reflection. Use your own experience rather than memorising a fictional story.
Can you explain your reasoning clearly when someone asks a follow-up question?
Make it personal
These examples illustrate our approach. Your programme is agreed around the evidence you already have, the gaps to address and the roles you are targeting.
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Tell us where you are now. We'll help you identify the next practical step.