Umang Chaudhary

If you’re looking to pivot your career into Machine Learning (ML) or preparing for interviews in the Applied ML industry, I can help you navigate the process with tailored guidance. Our session can be customized to your needs and may include one or more of the following:

• Goal Setting: Discuss your short-term and long-term career goals in ML.

• Personalized ML Plan: Create a customized learning roadmap based on your goals and timeline, using the best AI/ML resources available.

• My Experiences: Hear insights from my journey in ML, if you’re interested.

• Q&A: Get answers to your questions about ML, career transitions, or other topics.

• Mock AI/ML Interview: Practice a realistic ML interview to sharpen your skills.

AI/ML Mock Interview Structure

The mock interview is designed to simulate a real ML interview and includes:

• 5 minutes: Introductions to set the stage.

• 40 minutes: ML Interview Round, focusing on one of the following:

• ML Breadth: Covers ML fundamentals and core concepts (most common interview round).

• ML Depth: Dives deep into your past ML experiences or specific expertise.

• ML Coding: Code a specific ML algorithm from scratch.

• ML Design: Solve an ML problem without system design components.

• ML System Design: Tackle an ML problem with a focus on system design.

• 15 minutes: Detailed feedback to help you improve.