Monday, 2 May 2016

Tomorrow's Headlines Today ?



Take a look at the following news headlines :

#  64 million jobs created in China
    (  Business Line / 29 Dec 2015 )


#  Employers may get some sops for creating extra jobs
    (  Economic Times / 05 Feb 2016 )


#  23 % Indians aged 20-24 seeking jobs
    (  Times of India / 23 Dec 2015 )


#   27mill SSC-pass non-grads seek employment
    (  Times of India / 23 Dec 2015 )


#   Jobs grew 4.4 % / wages 14 % in 2013-14
    (  Business Line / 11 Feb 2016 )


#   Labour Ministry to restructure job survey , include service
     sector data ( Mint / 10 Feb 2016 )


#   India's Job Crisis : Here's a plan for creating 50 million quality
     jobs in the next decade : Romesh Wadhwani
     ( Times of India / 09 Feb 2016 )


#   With focus on Mfg, Labour Min Pitches for Jobs Survey Recast
    (  Economic Times / 21 April 2016 )


#   The Jobs Discourse : Ajit Ranade
    (  Mint / 20 April 2016 )


#   Job growth down to 7 year low in 2015 : Labour Bureau
   (  Business Line / 16 April 2016 )


#   No country for freshers
   (  Economic Times / 28 March 2016 )


Now , can you predict what will be the newspaper headlines , when it comes to the matter of " JOBS " , 2 / 3 / 5 years from now ?


There are two methods , as follows :


*   Reproduce the above headlines by simply changing the year
( in the " date " ) to 2018 / 2019 / 2021

You will not be too far off !


*    But if you are a " Data Scientist " , you may want to borrow from me a database of 2+  million job advertisements compiled from leading job portals over the past 8 years ( and covering job advertisements released by 50,000 + employers ) , and subject this data-set to BIG DATA analytics , to predict :

#   WHO   ( which company ) , will advertise

#   WHAT ( vacancy name ) , and

#   WHEN  ( almost , to a day ), for posting in

#   WHICH ( city ) , and needing

#   WHAT  ( Skills / Edu Qualifications ) , offering

#   HOW MUCH ( salary )


You will be doing a great service to not only the Jobseekers but also to Policy Makers / Educationists / Economists / NITI Aayog / HR managers / Trade Associations / Industrialists etc


If , based on search-terms used by billions of surfers every day ,  Google can accurately predict an outbreak of flue in any part of the world , then , surely Indian software geeks can predict jobs !

I am surprised why Naukri / MonsterIndia / TimesJobs etc are not publishing such job related analytics on their web sites in a dynamically changing fashion , given their enormous databases 

They , have even captured , BILLIONS of search queries by :

*  Jobseekers searching jobs , and

*  Employers searching resumes

These portals are , literally , in possession of ( what John Battelle - author of book " Google " may have said ) , " Database of Intentions "  !

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www.hemenparekh.in / blogs

03  May  2016




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