ML & Data Science Mock Interviews (2 Sessions) with Hardik Gupta

Knowing the material isn't the same as performing well in an interview. Having interviewed Data Scientists and ML Engineers as a Lead Data Scientist, I'll run you through realistic interview rounds and give you honest, specific feedback on what's working and what's holding you back.

Rounds we can practice:

1. ML system design: Designing end-to-end systems like search, recommendations, fraud detection, or RAG pipelines
2. ML and statistics fundamentals: Models, evaluation metrics, experimentation, and A/B testing
3. GenAI and LLMs: RAG, agents, fine-tuning, evaluation, and inference trade-offs
4. Coding: Python and SQL problems commonly asked in Data Science and ML interviews
5. Case studies and behavioral: Product sense, business cases, and telling your story with impact

How it works: This package includes two sessions.

1. Session 1 (60 min), Mock and feedback: A realistic interview round tailored to your target role, followed by detailed feedback on your strengths and gaps.
2. Session 2 (60 min), Second round: After you've worked on the feedback, we do another mock to track your progress and sharpen your approach.

Before the first call: Share your resume, the roles or companies you're targeting, and which rounds you'd like to focus on.

You'll leave with: Hands-on interview practice, clear feedback on where to improve, and more confidence walking into the real thing.