RE: Thanks

Rohini

I am glad that you liked the idea of Data mining of 5+ million job advts

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 our web site ) “, to benefit from these trends / patterns

If your Guide approves of this project , we will sit down to draw up a plan , along with Shuklendu

In the meantime , I attach a very small list of the Words / Phrases / Sentences , that I had manually compiled some 16 years ago

Regards

hcparekh 

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From: Rohini Damahe [mailto:Rohini.Damahe@larsentoubro.com]
Sent: Tuesday, July 09, 2013 9:54 AM
To: Hemen Parekh
Subject: RE: Thanks

Dear Sir,

   Thanks for providing me such a nice idea regarding Datamining Project. I will put this idea in front of my guides and will also find out availability of  IEEE papers related with this topic.

If this will be accepted I will let you know.

Thanks and Regards,

Rohini  L. Damahe,

L&T Institute Of Technology,

Mumbai.

From: Shivanand Satose
Sent: Tuesday, July 09, 2013 8:54 AM
To: Rohini Damahe
Subject: FW: Datamining of 5 million Job Advts

From: Hemen Parekh [mailto:hcp@recruitguru.com]
Sent: 06 July 2013 10:13
To: Shivanand Satose
Cc: Bhuvan Damahe; shuklendu.baji@sentientsystems.net
Subject: 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
Larsen & Toubro Limited

www.larsentoubro.com
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Larsen & Toubro Limited

www.larsentoubro.com
This Email may contain confidential or privileged information for the intended recipient (s). If you are not the intended recipient, please do not use or disseminate the information, notify the sender and delete it from your system.