Answer common DS behavioral screen questions

You are interviewing for a Data Science internship. Answer the following behavioral questions.

1. Introduce yourself (30–60 seconds).
2. Project deep dive: Describe a project you worked on.
   • What problem did you solve and why did it matter?
   • What model/approach did you use?
   • How did you evaluate it (offline metrics, validation strategy)?
   • If you did it again, what would you improve and why?
3. Most challenging project experience: What made it challenging, and how did you resolve it?
4. Learning mindset: Tell me about a time you learned a new data science concept/library quickly.

Constraints:

• Keep answers concise but specific.
• Emphasize decision-making, tradeoffs, and impact.
• Assume the interviewer will ask follow-ups on data quality, evaluation, and stakeholder communication.