About this Masterclass

With the news of mass layoffs trending every day, many companies are struggling to stay afloat. But the biggest hit has been taken by top companies worldwide leaving most of their employees unemployed.

So, is there a way for Data Scientists like you to prepare for the oncoming recession wave? What is the ideal time to switch your job before it's too late? Thanks to Data Science, it’s possible to analyse these trends and avoid the pink slip. 

Join Top Industry Expert, Srikanth Varma in a Free Masterclass on 23rd Feb, Thursday at 8 PM where he will shed some light on the recession and analyse industry trends using Data Analytics. Register Now!

What You Will Learn From This Session

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