This session is designed for candidates preparing for Data Analyst, Data Scientist, ML Engineer, and AI Engineer interviews who want structured, role-specific preparation instead of generic tips.

During the session, we will:

1. Identify interview expectations based on your target role and company type
2. Review core concepts (SQL, Python, ML, statistics, AI fundamentals)
3. Prepare for project-based and scenario-driven questions
4. Improve explanations for past projects, models, and decisions
5. Discuss common interview pitfalls and how to handle them
6. Share strategies for technical rounds, case studies, and HR discussions

The focus is on real interview patterns and evaluation criteria used by hiring teams, not textbook questions.

Ideal for:

1. Candidates actively interviewing for data or AI roles
2. Professionals facing repeated interview rejections
3. Freshers and career switchers preparing for first interviews
4. Engineers transitioning into ML or AI positions

All discussions are confidential and outcome-oriented.