Mock Interview - Data Science & Machine Learning with Bindu Gupta

Realistic interview simulation - I’ll interview you like an actual Data Science/ML interviewer, including follow-up and probing questions.

Personalized questions - Based on your experience, resume, target role, and job description.

Technical assessment - ML, Statistics, SQL, Python, experimentation, case studies, and ML concepts as relevant to your role.

Resume & project deep dive - Be prepared to explain your projects, decisions, trade-offs, and impact.

Problem-solving assessment - Evaluate how you approach ambiguous problems, structure your thinking, and communicate your reasoning.

Interview-level follow-ups - I’ll challenge assumptions and ask deeper questions rather than stopping at the first answer.

Detailed feedback — What you did well, where you struggled, and what you should improve.

Answer improvement - Guidance on how to structure and communicate stronger answers.

Interview readiness - Identify gaps and focus areas before your actual interview.