About this Session

Possessing a notable amount of work experience, skills, and knowledge can surely get you shortlisted for Data Science Interviews, but that’s not enough, right? You need an exceptional preparation strategy to be able to ace it. And when it’s Amazon that you’re aiming for, then you need a solid strategy and some expert guidance to nail it on the first go. 

To help you overcome interview-jitters and prepare you better for the nerve-wracking process, we have scheduled a LIVE Mock Interview where veteran, Srikanth Verma Chekuri will vet you for your dream career. 

From the application process, to what to expect in different rounds, the session will be packed with insights. Join him on 6th January, Friday at 7 PM and get a first-hand guide for Amazon’s interviews.

What You Will Learn From This Session

• Avenues to focus on for upskilling
• Interview preparation strategies & experience
• How to solve Data Science problem statements
• How to approach a Data Science problem in an interview & give an optimized solution
• Communicate your thought process and make observations

Meet Srikanth Varma Chekuri (LinkedIn)

• Co-Founder & Principal Instructor, Applied AI & AppliedRoots
• Senior ML Scientist @ Amazon, Palo Alto and Bangalore
• Co-Founder, Matherix Labs
• Research Engineer, Yahoo! Labs
• Masters from IISc Bangalore, Gate 2007(AIR 2)
• 13 years of experience in AI and Machine Learning

About Scaler Data Science

Many professionals (like us!) enter the field of Data Science by working on toy data sets and have no real-world knowledge of using real data. We are exposed to ‘old’ teaching methods and are taught to ‘cram’ content. When they start working in the industry, they fail to catch up on the skills that the industry needs because they never learnt the real-world application of using messy data and thus, end up lagging behind their peers. This leads to a loss of confidence and stops them from accelerating their career. This is where Scaler Data Science solves the problems!

Scaler Data Science is a tailor-made program to master the foundations of Data Science and Machine Learning and to take their career to the next level, via:

• A structured, guided, and industry vetted curriculum
• Live classes by faculty who have been there, done that
• Regular 1:1 mentorship from industry veterans
• Practical experience through real-life projects
• Career support via a dedicated recruitment team, alumni network, etc.
• Aspirational peer group of 3,500+ Scaler students & alumni