Hi Friends,

Even as I launch this today ( my 80th Birthday ), I realize that there is yet so much to say and do.

There is just no time to look back, no time to wonder,"Will anyone read these pages?"

With regards,
Hemen Parekh
27 June 2013

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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