Saturday, 6 July 2013

Datamining of 5 million Job Advts


Shivanand
Please forward this to Rohini
Regards
Hcp


Rohini

At any given time , the number of jobs getting advertised , is an important Economic Indicator
If economy is booming and company Order Books are getting fatter , then more jobs will get advertized – and vice-versa
Hence , a time-series analysis of the no of new jobs getting posted on job portals , has a  straight line relationship with the state of the economy ( a high co-efficient of correlation )
Apart from that , can a Data mining of 5 million jobs , answer ( even partially ) , the following questions ?

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………(  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 )

If undertaken – and executed seriously – then this Data mining project has the potential to place LTIT on the Centre-Stage of National Education Planning Scenario
I do hope , you will consider my proposal sincerely


Regards

hcp

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