- Get familiar with backend developer persona/tech jargons.
- Implement Bigdata & probabilistic models in your searches.
- Learn the art of data cleaning in sourcing.
- Ensure you don’t miss any profile on naukri & linkedin.
- Experienced recruiters (Min 1 year - as long you’re a sourcer)
- Individuals looking to upskill their recruitment skills
- Individuals looking to become advanced level candidate sourcer
- Individuals looking to learn tech jargons in a recruiting context
- Individuals looking to learn how to optimize their sourcing effort
8 Hours (Self-Paced)
Virtual (Learning + Hands on + Mentorship)
Requirement:Candidate should have laptop + wifi + mobile
Mentorship:Get mentored by top Recruiters from Facebook, Google, Uber & others
- Certification from RecruitingMonk
- Life long membership to RecruitingMonk’s community
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Price: ₹ 7500/-
Language : English
About Trainer
Ashfaq Ahmed
Founder & Head Monk @ Recruiting Monk
Ashfaq is an Engineer by Chance, but a Recruiter by choice. He comes with about 8+ years of experience in Recruitment, out of which 7yrs have been in training & nurturing Recruiters. He has trained close to 10,000 Tech Recruiters. He is the founder of Recruiting Monk and in his current role he wears multiple hats like Product Manager, Trainer, Consultant etc..
Skills You will learn:
- Understand candidate persona in context of sourcing.
- Analyse data structures- how data is presented and how we can retrieve it and what candidates write and how they write it..
- How to create structured boolean search and eliminate duplicate data.
- Optimising Naukri with 3 patterns of searching methodology.
- Understanding the Linkedin search frameworks.
- De-mystifying LinkedIn - understanding how and what kind of data is presented in LinkedIn.
- Implementing Bigdata concepts in sourcing.
- Understand the tech jargon.
- JD deconstruction : primary skill,supportive skill,functional skills and anchor skills.
- Sourcing guidelines and mistakes to avoid.
- Learn art of probabilistic search models which will help recruiters to make a 360 degree search which will ensure they won't miss the grey matter.
Student Testimonials
Amulya Gopal
Technical Recruiter
@Meesho
"This course is useful to recruiters who wants to understand sourcing from Data Analysis, Just started to implement & can see change in my productivity. My takeaways from this Sourcing Master Class were, 'Efficacy Models'. Overall the training structure was excellent."
Thirunavakkarasu Kannusamy
Senior HR Partner - Global TA
@Alliance Data Card Services
"This session is more informative and I have learnt the Sourcing techniques, You are doing a great job, continue to do the same. My takeaways from this Sourcing Master Class were, 'How to negate the skills, LinkedIn & Naukri Deep Sourcing'."
Mastanvali Shaik
Talent Acquisition Lead
@AppsTek
"Very Informative session. I've been using this data slicing technique in closing a leadership position for one of the product based company & for most of the leadership positions, I am using this data slicing techniques."
Ritika Gupta
Talent Acquisition Lead
@Magic FinServ
"Great sessions with good learning experience with no. of tips & tricks. My takeaways from this Sourcing Master Class were, 'Persona Understanding', creating various search models using the negation method, URL analysis."
Sayani Barik
Talent Acquisition
@Birlasoft
"Being in to recruitment for 5 years I was not able to structure my search & by going through this session I was able to structure my search & build efficacy models that you've taught us these are very much helpful I say."
Vivian Kristoper
Technical Recruiter
@Microsoft
"NOT operator is the first thing which really negate most of your duplicate data and NOT really helps to negate that and I've really learnt that here and I've also learnt to build the efficacy structure how do you break down your entire data once you get it and how do you break entire your jd."
Recruiting Monk
RecruitingMonk is an online platform designed to deliver recruitment gyan in a systematic and affordable fashion. The stuff we teach isn't found in books.