Mock Interview for Data Science, ML & AI Roles with Tanuj

Prepare for your next interview with a complete, realistic mock interview tailored for Data Science, Machine Learning, and AI/GenAI roles.

I'll act as your interviewer and simulate an actual interview, covering technical questions, practical problem-solving, and real-world scenarios based on your experience and target role.

What we'll cover:

• Technical Fundamentals: Python, SQL, statistics, probability, and machine learning.
• Case Studies: Business problem-solving, analytical thinking, and ML use cases.
• ML & AI Concepts: Model selection, feature engineering, evaluation metrics, deep learning, and GenAI concepts where relevant.
• Project Discussion: Explain your projects, technical decisions, challenges, and impact.
• Scenario-Based Questions: Handle challenging follow-up questions just like a real interviewer.

What you'll gain:

• A realistic interview experience.
• Honest feedback on your strengths and improvement areas.
• Guidance on structuring clear, confident answers.
• Actionable tips to improve your interview performance.

Whether you're preparing for your first Data Science role or targeting an experienced ML Engineer position, this session will help you identify gaps and prepare more effectively for your next interview.