Emails (Others): BIG DATA CAN HELP IN PREDICTING

Tuesday, 3 May 2016

BIG DATA CAN HELP IN PREDICTING

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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Regards,

hemen parekh

Mumbai

hcp@RecruitGuru.com