APPLICATIONS

Abhi

Naukri.com (Feb. 27, 2003 issue enclosed)

03/03/03

In this issue, I have marked:

• In Red ✓
  adverts of Public Ltd. Companies

• In Green
  names of Recruitment/Placement Companies who have advertised on behalf of their clients

I presume all of these adverts are on naukri.com website, so Sajida can easily download directly those which I have marked in Red.

Of course, she will need to “convert” these using “Advt. Convert” software given to her. And when she does:

→ Actual advertiser’s name/contact data will get hidden.

→ Our email ID (Apply@3pjobs.com) will replace original email ID.

She must, of course, send to us one copy of each advert with FULL/ORIGINAL content.

When we have compiled 100,000 such job-adverts (over next 12 months?), then using JOBMINE software (almost same as our Advt. Convert with a few small changes), we would process/datamine these 1 lakh job-adverts, to uncover/discover following patterns/trends which would help us to carry out an aggressive/pro-active…MARKETING DRIVE:

1. Industry-wise frequency distribution

   • Which are hot/sunrise sectors?

   • Which industries have maximum demand of executives?

2. Function-wise frequency distribution

   • Which “functions” are most sought after?

3. Age-wise frequency distribution

   • What is the “prime” age-group?

4. Designation-Level wise frequency distribution

   • At what “level” most recruitment is taking place?

5. Edu-level/branch wise distribution

   • What educational qualifications are in greatest demand?

6. City-wise distribution

   • Which cities/regions have maximum job-offerings?

7. "Company-Name" Wise

Which companies are hiring most? At what levels? For what functions?

8. Job Descriptions / Keywords

We would be able to “parse” all sentences appearing in job-description para of each job-advt. & then arrange these:

• Industry wise

• Function wise

• Desig.-Level wise

We will do the same with “keywords” (as opposed to “key-phrases” & “key-sentences”).

These analyses would help us in automatic “matchmaking” of resumes which also contain →

• Same keywords / phrases / sentences (as found in job-advt).

Then you don’t need a consultant to manually enter “SEARCH PARAMETERS” into our “Resumearch” & then wait for results to appear & then,

One by one, open each resume & read it to decide how well that resume “matches” the UN-EXPRESSED criteria specified by the client — but which cannot be entered as “Search-Parameters”!

Parameters!

In ResuMine, we are trying to plot “FUNCTION EXPOSURE PROFILE” as follows:

(Two Bell-curve graphs drawn — first showing population of resumes = 95,000 in SALES, second showing Job Ad population = 15,623 in SALES drafted by VOLTAS)

Could it so happen that if we (JOBMINE) process 100,000 job-advt., we could see a frequency distribution such as following emerge?

If VOLTAS recruitment manager “composes” a job-advt. using our WEBSERVICE (Advt.-Compose Tool) & suddenly sees above-mentioned GRAPH emerge in front of his eyes, he would know (although he may not admit it!), that he has done a LOUSY JOB in drafting/composing the advt!

Now, from the dropdown LIST-BOX, provided by us, he can choose/pick…

Some more

• Keywords

• Key phrases

• Key sentences

… pertaining to Sales function, and try again.

Now, he sees, “revised” graph as follows:

(Drawn graph with Job Advt. No, Drafted by VOLTAS)

---

This would be a tremendous Decision Support System

Based on “Datamining” of 1 lakh job-advt. (as it will go on improving as we JOBMINE more & more).

If we can pull this off, recruitment would never be the same again!

Thereafter, no recruitment manager / HR manager, would EVER want to advertise in

→ Newspapers

→ Magazines

→ Jobsites

!!

Remember, what we can do, others can do even better! – but “first mover” has better chances of survival.

cc: Kartavya

cc: Inder / Anjaria

(Signature)

08/04/03

Abhi / Deepa

• Job Advt. Datamining (Job-Mining)

• Creation of a Job Advt. Database

Enclosed, find a list of data/info/fields which we should plan to extract from lakhs of job-adverts, that will get downloaded from 6 jobsites, using spider being developed.

Maybe you will be able to think-up of some more fields that may come to your mind, after reading enclosed notes.

You should also borrow from me and read folders/notes on:

• JAWS

• JobAlert as SMS, etc.

But these folders need not be read right now, because, in enclosed notes, I have briefly covered these Concepts/Usage/Applications.

We can/will take-up for development each of these “applications” (one-by-one).

Auto-Converter

In course of time. But the first step is to modify/redesign “Auto-Converter” in such a manner that, it is capable of:

• handling/processing job-adverts (digital) received from any source and in any format

• doing this “processing” automatically & without any human intervention

• 
  

• creating a structured database of job-adverts, using which, we can launch a series of “applications”

Whereas, it is desirable that such a modified Auto-Converter is capable of processing job-adverts from any source and in any format, the danger is that such a universal tool may run too slow, trying to search for all possible permutations/combinations.

If you feel the same way, you may consider developing 6 different tools, each exclusively meant for processing job-adverts from one/given source only. This can speed-up processing.

(Signature)