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RESKILLING ESSENTIAL TO SURVIVAL
DataQuest
|April 2022
Eevera Senthamilselvan, Talent Transformation Lead at HyperVerge talks about working with Tier 2, 3 colleges, creating opportunities for them along with the importance of reskilling.

How are you are you handling the issue of talent transformation?
Ideally if we look at the recruitment pattern across the country, it targets Tier 1 colleges which means the top 1000 companies in India recruit students from top 100 colleges.
First, we try to understand and study the colleges that we are recruiting. One important thing that we noticed is all top colleges have a lot of space for student leadership activities like clubs and chapters. Students from Tier 1 college are already part of clubs and have experience in organizing events which gives them a lot of exposure. The 80-20 rule of any job is communicating freely with an open mind and being extremely collaborative which is absent in Tier 2 or Tier 3 colleges. Through HyperVerge Academy, we are working with these Tier 2&3 colleges to open up student clubs, create internship opportunities so that when they are in their final year they get all the basic knowledge and exposure needed to face the real world. It does take a lot of effort since we need people from the Engineering or Deep Learning team to volunteer and guide the students in the right direction.
We are also targeting NGOs. There is an NGO called Nav Gurukul that picks up students who dropped out of 9th or 10th grade. Here we are looking for alternative talent pipelines, drop-out students who are interested in coding. We are also partnering with CSRs. For instance, Polaris Trust sponsors the toppers (top 10 ranks) of each state for their higher education. We are aiming to increase the first-generation graduates and proportion of women in the company. We have female tech mentors to mentor female students from the beginning.
What about the issue of skilling and reskilling? How do Emerging/Deep Tech skills fit into all of this?
This story is from the April 2022 edition of DataQuest.
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