Congratulations, Pawan Goyal

 

Congratulations, Pawan Goyal

( Chief Business Officer – Naukri.com )

 

 

Context :

India Inc's hiring activity up 57% in September, according to Naukri's JobSpeak    /  Eco Times / 09 Oct

 

Naukri JobSpeak, a monthly hiring activity index based on job listings on Naukri.com, grew for the third consecutive month in September to hit a record high of 2,753, growing 21% over September 2019 levels and 57% year on year.

"India is witnessing a never-seen-before activity in hiring," said Pawan Goyal, chief business officer of Naukri.com.

 

My Take :

Ø  For looking up JOB STATISTICS for any particular month, look up :

             https://www.naukri.com/blog/naukri-jobspeak-report/

 

Ø  Here is a place where you can find / read all the JOB STATISTICS , in an elaborate manner :

             https://drive.google.com/file/d/1vLayE2rkidR6VGVjTrDXuExPO1fvrzfL/view

Obviously, the job-statistics presented are based on the actual “ Job Listings “ found on Naukri , month after month ( jobs posted by 76,000 employers registered on Naukri website )

But that is an incomplete picture , since there are hundreds of other Job Portals , which may carry , many more job-postings

If ,

Ø  Job Data from all the job-portals were to be available , on an on-going basis

And,

Ø  If these data was subjected to BIG DATA ANALYTICS / PREDICTIVE AI Software,

 

-     -  then , what insights can we have ?  

 

Ø  Here is a glimpse :

            ANNUAL   EMPLOYMENT   SURVEY  ? ………..[ 26 Oct 2015 ]

Extract :

Ø  Who ( which Companies ) are advertizing and when ?

 

Ø  What jobs / vacancies / positions are being advertized ?

 

Ø  What is the frequency with which a particular job gets advertized ? By entire industry ? By a given Company ?

 

Ø  Which regions / cities have max / min no of new jobs ?

 

Ø  What are regional disparities due to ?

 

Ø  Which Industries are advertising most – creating most jobs ?

 

Ø  What Edu Qualifications are in max demand ?

 

Ø  What kind of jobs demand what kind of Edu Qualifications ?

 

Ø  What is the level of co-relation between , Position and the years of Experience demanded ?

 

Ø  For identical positions being advertized , how much do “ Job Descriptions / Desired Profiles “ differ, from company to company ?

 

Ø  Are there significant differences in the “ No of years of Experience “ being demanded , for identical positions ?

 

Ø  What is the probability of finding the “ Keywords “ in “ Job Description / Desired Profile “ ?

 

Ø  What is the extent of duplication ( redundancy ? ) between , “ Job Description “ and “ Desired Profile “ ?

 

Ø  What percentage of Advts fail to make any mention of , Compensation Offered ?

 

Ø  When a company posts an advt for same / identical position , at different points of time , are there any differences in values ( fields ) ?

 

Ø  From an analysis of all the advts posted by a given Company ( over past 7 years ) , can any conclusion be reached as to the changing nature of that company’s business (by co-relating the “ Skills related Keywords “)?

 

Ø  Can the algorithm predict what job a company will advertize next – and when ?

 

Ø  Is there any correlation between , “ Designation / Position “ and the “ Keywords “ ?

 

Ø  From analyzing this huge data , can software auto-generate , a complete / editable job advt , as soon as a Recruiter simply types the “ Designation / Position “ ?

I believe , so far , no one has undertaken such a Data mining project

If carried out diligently , I am sure , the outcome would be of immense benefit to :

Ø HR Managers

 

      for Manpower Planning / Compensation Planning

 

Ø Recruiting Managers

 

      for framing Man Specifications / Job Description Manuals

 

Ø Educationists

 

      for deciding what Edu Quali are in demand and tailor the Courses

 

Ø Students

 

      to figure out what “ Skills “ are in demand by Industry and prepare

 

Ø Planning Commission ( NITI Aayog )

 

      for allocating Resources to States / Regions , based on imbalances

 

Ø  HRD Ministry

 

       For long term Macro-Planning in respect of Education

 

Ø National Skills Development Commission

 

      for chalking out Skills Development Programs in collaboration with Companies / Industries

What can / will such a project yield ?

 

Without exaggerating , it would be safe to assume that , this vast database of job advts would contain :

 

Ø  50 million phrases / sentences

 

Ø  500 million words

 

Obviously , each word / phrase / sentence , is nothing more than a

 

“ Database of Intentions “ of the Employer Companies

 

( to borrow from John Battelle’s well-researched book about Google )

 

Our goal shall be to make this ( Data mining Algorithm ) a dynamic / continuous “ Process “ , so that , we can measure the changing nature of these “ Intentions “ , over a long , long period

 

And we must enable a “ Researching Visitor ( of web site ) “, to benefit from these trends / patterns

 

Even though 5 million job advts may contain 500 million “ words “ , these are not Unique

 

Most of these are used again and again , hundreds or thousands of times

 

Thru data mining , it is not difficult to compute their “ Frequency of Usage “

 

And then , these frequencies can be graphically plotted against any particular time-period

 

Such Graphical Representations can be further broken up by ,

 

Ø  City Names

 

Ø  Company Names

 

Ø  Industry Names

 

Ø  Function Names

 

Ø  Designations ( Vacancy Names ).. etc

 

And such graphical analysis can be done , not only for “ Keywords “ but even for “ Key Phrases “ and “ Sentences “ !

 

 

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With regards,

Hemen parekh  /  hcp@RecruitGuru.com  /  17  Oct  2021