Akshay,
When you visit us tomorrow, can you
bring along those 2 files of my handwritten notes ?
There is no hurry for the 3 books
Warm Regards,
Hemen Parekh
+91 98675 50808
From: Akshay Sehgal
[mailto:akshay.s@ipredictt.com]
Sent: 31 May 2017 18:36
To: Hemen Parekh
Cc: Rohit Verma; Nirmit Parekh; Mitchelle; Prashant Sharma; Manoj Pandey
Subject: Re: WE HAVE COMPANY !
Sent: 31 May 2017 18:36
To: Hemen Parekh
Cc: Rohit Verma; Nirmit Parekh; Mitchelle; Prashant Sharma; Manoj Pandey
Subject: Re: WE HAVE COMPANY !
Hi Hemen,
We can
visit your office on Friday morning around 10:30 am. Do let me know if that
works for you.
Thanks,
Akshay.
Co-Founder, iPredictt Data Science Labs
Head, Product Strategy & Research
On Wed, May
31, 2017 at 1:05 PM, Akshay Sehgal <akshay.s@ipredictt.com> wrote:
Hi Hemen,
Will go through the attachment, thanks for the
inputs. I'll get back to you soon and arrange a suitable time for visit.
Thanks,
Akshay.
On May 31,
2017, at 12:43 PM, Hemen Parekh <hcp@recruitguru.com> wrote:
Akshay ,
Thanks . Let me know when you want to
visit us
Any luck with that handwritten note
conversion to word document ?
My colleague Sachin will soon send to
you , that database of 2 million job advts
You may want to go through the
attachment
Warm Regards,
Hemen Parekh
+91 98675 50808
From: Akshay Sehgal
[mailto:akshay.s@ipredictt.com]
Sent: 31 May 2017 11:42
To: Hemen Parekh
Cc: Rohit Verma; Nirmit Parekh; Mitchelle; Prashant Sharma; Manoj Pandey
Subject: Re: WE HAVE COMPANY !
Sent: 31 May 2017 11:42
To: Hemen Parekh
Cc: Rohit Verma; Nirmit Parekh; Mitchelle; Prashant Sharma; Manoj Pandey
Subject: Re: WE HAVE COMPANY !
Hi Hemen,
Thanks for the thoughts. I agree
that company culture is quite important to analyze and check against a
candidate's profile to understand their fitment towards the given profile. I
will go through the link that you shared and try to get insights regarding the
same. Meanwhile, I will like to update you on what we are trying to add to the
platform
Parsing Code for 13k Resumes -
We have been able to create a code
on the resume templates which Mitchelle shared with us. It extracts the
experience, education and other details about the candidate and replaces the
latest company name with a garbage value for sake of data confidentiality. Will
like to visit sometime this week or early next week with my teammate to run the
code and test it on the 13k resumes.
Behavioral / Soft skill parameters -
1. The soft skill qualities such as leadership
may be extracted by looking at Linkedin / Facebook profiles but its impossible
to get this data without a partnership with the company and authentication from
each candidate allowing access to profiles. Moreover, even if that is
done, there are strict restrictions on how we are allowed to utilize the
profiles.
2. Therefore we understand that the
data collection from these platform needs to be manual, i.e. the variables that
I would need to calculate say, leadership quality of a person, need to be
collected by the user manually by going through the profile. However, what we
can do is standardize the process of data collection AND apply a statistical
model for calculation of these soft skills.
3. For the data collection, we will
create a checklist of questions for the HR/User which they need to fill by
viewing the profile of a candidate on Linkedin or Facebook or both. Questions
like - "How many connections does the candidate have?", "Number
of posts he has made last month?" etc..
4. Once these questions are
answered, a piece of code should apply some business rules and calculate the
"Great 8" Competency matrix automatically. The Great 8 parameters are
shown in the screen shot below.
6. These parameters will then be
included into the algorithm for calculation of final ranking.
Belong as our competition -
We had the opportunity to meet the
belong team and test their application recently in SHRM 2017. What we learnt
from there is that they are a fresh take on candidate sourcing and rely on
outbound hiring to fulfill the requirement of 'active and high quality
candidate leads' for technical (specifically IT) job requirements. They do
this by manually keeping a record of top profiles across platforms such as
Linkedin, Github, Facebook, Quora, Kaggle, Stack overflow etc, and have a
really exhaustive structure to store and update candidate information regarding
skill sets, qualifications, experience, education and personal details.
Moreover, they are a direct filter platform like naukri, but with better
candidate data using outbound sourcing methods.
How they differ is 1. They are
not into automating any process, no parsing, no predictive analysis 2.
Their objective is not candidate selection decision making, but high quality
candidate sourcing 3. They are confined to IT related hiring for
now.
What we can learn from them - Utilizing unconventional data
sources, UI improvements, Quality and structuring of candidate data & Job
requirements.
Thanks,
Akshay.
Co-Founder,
Product Strategy & Research
On Tue, May 30, 2017 at 1:21 PM,
Hemen Parekh <hcp@recruitguru.com>
wrote:
Rohit ,
Thanks for
clarification
One of the issues that
Mitchelle mentioned during our meeting was :
How can we assure
ourselves that a given candidate is a good match with the “ Corporate Culture “ of our client company ?
In most cases of
Senior Positions , this is an important criteria
Question is :
What is the Corporate Culture of that company ?
I have not come across
Companies which have a formal / official document on this !
So , how can we go
about “ discovering “ this ?
Before that , we must
define “ Corporate Culture “
To me , it is “ Collective Attitude “ of all the employees
of an organization , in relation to :
·
Colleagues
( at same level )
·
Superiors
( Bosses / seniors )
·
Subordinates
( reporting or otherwise )
·
Customers
·
Suppliers
·
Competitors
·
Society
at large
·
Legal
Obligations as Corporate Citizen
·
Work
itself…..etc
How does an employee (
current or ex ), express himself in relation to
these ?
You may find an
indirect answer ( as to : what is the Corporate Culture of a Company ? ) , by looking up the keyword /
phrases marked in RED
, at first 7 / 8 episodes listed at :
Warm Regards,
Hemen Parekh
+91 98675 50808
From: Rohit Verma
[mailto:rohit.v@ipredictt.com]
Sent: 30 May 2017 12:57
To: Hemen Parekh
Cc: nirmit@3pconsultants.co.in; Mitchelle; Prashant Sharma; Manoj Pandey; akshay.s@ipredictt.com
Subject: Re: WE HAVE COMPANY !
Sent: 30 May 2017 12:57
To: Hemen Parekh
Cc: nirmit@3pconsultants.co.in; Mitchelle; Prashant Sharma; Manoj Pandey; akshay.s@ipredictt.com
Subject: Re: WE HAVE COMPANY !
Thanks, Hemen for the story. Agree,
there is lot of industry interest in this field. However, Belong is chasing a
slightly different model which encompasses that of a recruitment firm with
extended search on social media particularly tapping Passive candidates.
Whereas we are chasing building intelligent & deep learning algorithms for
better decision making.
Regards
Rohit
From: Hemen Parekh <hcp@recruitguru.com>
Date: Tuesday, 30 May 2017 at 11:07 AM
To: <rohit.v@ipredictt.com>, <akshay.s@ipredictt.com>
Cc: <nirmit@3pconsultants.co.in>, Mitchelle <mitchelle@3pconsultants.co.in>, Prashant Sharma <prashant@3pconsultants.co.in>, Manoj Pandey <contact@3pconsultants.co.in>, <hcp@recruitguru.com>
Subject: WE HAVE COMPANY !
Date: Tuesday, 30 May 2017 at 11:07 AM
To: <rohit.v@ipredictt.com>, <akshay.s@ipredictt.com>
Cc: <nirmit@3pconsultants.co.in>, Mitchelle <mitchelle@3pconsultants.co.in>, Prashant Sharma <prashant@3pconsultants.co.in>, Manoj Pandey <contact@3pconsultants.co.in>, <hcp@recruitguru.com>
Subject: WE HAVE COMPANY !
Rohit / Akshay :
The following news appeared in today’s
Business Line
Apparently , Belong too , are working
along the same line as yours
We are in good company !
-----------------------------------------------------------
Laughing at a weird profile or display
pictures of people on their social media sites? Well, a creative image there
could land you a plum job.
Take the case of a marketing expert who
put up a visual of Spiderman hanging up his shorts on a web. His quirky humour
marked him out — and caught a recruiter’s eye.
A tech-based services firm, which was
not initially interested in the candidate for a high-profile job, zeroed in on
him after hiring services start-up Belong provided it with a gist of his
profile.
Another Twitter user once publicly
flayed an e-commerce firm for a faulty payment process. What happened next was
most unusual: he was asked to fix the problem, and then head the division that
handles that process.
Welcome to the new age of hiring, where recruiters sift through your profile
on social media and other online
platforms and blogs and offer you a job — even if you haven’t applied for one!
The process is called Outbound Hiring, which Belong defines as a “personalised, candidate-focussed approach.”
To identify potential candidates, Belong gathers all the publicly available
data from the Internet and
prepares a snapshot of people with a variety of IT skills.
Filtering thousands of applications to
select a handful of candidates, it found, was a waste
of time.
“We have developed a solution where the hunt is narrowed down to a few
candidates,” Vijay Sharma, Co-Founder of the Bengaluru-based Belong,
told BusinessLine.
“We trawl the web and harvest data that is available
publicly on social media platforms,
websites and blogs,” he added. The firm has so far raised $15 million in two rounds from Matrix and
Sequoia.
“We don’t have plans to raise more funds
at this point.
We are planning to increase the employee
base from 80 to 140,” he said.
Cheaper, easier
He said top IT companies, including
multinational firms, pay up to 30 per cent as fee on each candidate.
For top slots, they are supposed to look
at hundreds of profiles.
Typically, this kind of recruiting
happens for mid-level positions, Sharma said.
But how reliable is a person’s online
persona? Can’t it be faked ?
Vijay Sharma says the chances of faking
a profile are much less online than offline. “If you bluff, you are easily
caught,” he points out.
-----------------------------------------------------------------
With Regards,
hemen
parekh
(
M ) +91 - 98,67,55,08,08
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