Separate data preparation from modelling
A data or artificial-intelligence title may refer to data engineering, modelling or production deployment. Present the scale, quality constraints and evaluation criteria of your projects. Explain your contribution without exposing confidential data, distinguishing a demonstration prototype from a system actually used in operations so that an employer can assess the depth of your experience.
Question how the results are used
Ask who uses the analysis, how models are monitored and which teams maintain them. Data access, computing resources and internal protection rules affect what can be delivered. An international application benefits from showing that you can explain the limitations of a result to non-specialist colleagues rather than presenting technical accuracy as the only measure of success.