SlideShare a Scribd company logo
1 of 10
Download to read offline
HackerEarth www.hackerearth.com
Breaking Conventional
Hiring Practices
The Druva Case Study
HackerEarth www.hackerearth.com
• Druva came to HackerEarth looking to hire software developers
• Specialises in data security and backup
• Has over 100s of clients, many of whom are marquee clients
• Has offices in India, Europe and USA
• The current requirement was for their Pune office
About Druva
HackerEarth www.hackerearth.com
The Problem
• Druva’s conventional hiring practice was very Institution biased
• Based on qualitative information shared from the recruitment team,
Druva’s bar on hiring is very high
• Even the brightest students from the best institutions find it hard
to make it to Druva
• How to find top notch tech talent for Druva
• How to get Druva to hire outside their conventional philosophy?
The problem statement
HackerEarth www.hackerearth.com
The Druva Hiring Challenge
• An algorithmic coding challenge hosted on HackerEarth
• 4 problems of increasing difficulty
• 4 hour test
• Number of participating developers
• Number of developers who attempted one
problem
• Number of developers who got all problems right
• Number of developers who attempted all
problems
• Number of developers who attempted at least
one problem
1757
973
32
300
497
Druva hiring challenge in numbers
HackerEarth www.hackerearth.com
Over 36% percent of participants were relevant to the job requirement
Attracting the relevant talent
36%
64%
HackerEarth www.hackerearth.com
2% of the participants were exceptional. They were filtered instantly,
at the end of the contest
Distinguishing the best from the rest, instantly
2%
98%
HackerEarth www.hackerearth.com
The Hires
• 3 candidates hired from the hiring challenge
• Two out of three hires weren’t from premier institutes
Darpan Kalra
(CGPA - 8.0)
Punjab University, Chandighar Datta Maghe College on Engg. , Mumbai IIT Bombay
Kapil Dolas
(CGPA - 6.8)
Sudhakara Rao
(CGPA - 9.39)
HackerEarth www.hackerearth.com
HackerEarth www.hackerearth.com
Attracting talent from everywhere
• Finding talent from institutes outside the purview of conventional
in-house hiring
• Identifying hidden talent, irrespective of CGPA or institute
• Also giving an innovative way of hiring besttalent from premier
institutes through Hackathon method
HackerEarth www.hackerearth.com
contact@hackerearth.com

More Related Content

What's hot

Devops certification training task 08
Devops certification training task  08Devops certification training task  08
Devops certification training task 08
GURUPRASANTH33
 
paragfresherselenium resume
paragfresherselenium resumeparagfresherselenium resume
paragfresherselenium resume
parag khobragade
 

What's hot (7)

2018 Tech Recruting Report
2018 Tech Recruting Report2018 Tech Recruting Report
2018 Tech Recruting Report
 
Front-end, Back-end & Full-stack: Best Practices for Hiring Developers
Front-end, Back-end & Full-stack: Best Practices for Hiring DevelopersFront-end, Back-end & Full-stack: Best Practices for Hiring Developers
Front-end, Back-end & Full-stack: Best Practices for Hiring Developers
 
Ethical hacking course task 8
Ethical hacking course task 8Ethical hacking course task 8
Ethical hacking course task 8
 
Devops certification training task 08
Devops certification training task  08Devops certification training task  08
Devops certification training task 08
 
Ethical Hacking Courses in India
Ethical Hacking Courses in IndiaEthical Hacking Courses in India
Ethical Hacking Courses in India
 
paragfresherselenium resume
paragfresherselenium resumeparagfresherselenium resume
paragfresherselenium resume
 
Course content for qa(MANUAL TESTING, AUTOMATION TESTING QTP,QUALITY CENTER w...
Course content for qa(MANUAL TESTING, AUTOMATION TESTING QTP,QUALITY CENTER w...Course content for qa(MANUAL TESTING, AUTOMATION TESTING QTP,QUALITY CENTER w...
Course content for qa(MANUAL TESTING, AUTOMATION TESTING QTP,QUALITY CENTER w...
 

Viewers also liked

No-Bullshit Data Science
No-Bullshit Data ScienceNo-Bullshit Data Science
No-Bullshit Data Science
Domino Data Lab
 
Leverage Social Media for Employer Brand and Recruiting
Leverage Social Media for Employer Brand and RecruitingLeverage Social Media for Employer Brand and Recruiting
Leverage Social Media for Employer Brand and Recruiting
HackerEarth
 
Wapid and wobust active online machine leawning with Vowpal Wabbit
Wapid and wobust active online machine leawning with Vowpal Wabbit Wapid and wobust active online machine leawning with Vowpal Wabbit
Wapid and wobust active online machine leawning with Vowpal Wabbit
Antti Haapala
 

Viewers also liked (19)

No-Bullshit Data Science
No-Bullshit Data ScienceNo-Bullshit Data Science
No-Bullshit Data Science
 
USC LIGHT Ministry Introduction
USC LIGHT Ministry IntroductionUSC LIGHT Ministry Introduction
USC LIGHT Ministry Introduction
 
State of women in technical workforce
State of women in technical workforceState of women in technical workforce
State of women in technical workforce
 
Kill the wabbit
Kill the wabbitKill the wabbit
Kill the wabbit
 
Leveraged Analytics at Scale
Leveraged Analytics at ScaleLeveraged Analytics at Scale
Leveraged Analytics at Scale
 
Fairly Measuring Fairness In Machine Learning
Fairly Measuring Fairness In Machine LearningFairly Measuring Fairness In Machine Learning
Fairly Measuring Fairness In Machine Learning
 
Data Science Competition
Data Science CompetitionData Science Competition
Data Science Competition
 
Doing your first Kaggle (Python for Big Data sets)
Doing your first Kaggle (Python for Big Data sets)Doing your first Kaggle (Python for Big Data sets)
Doing your first Kaggle (Python for Big Data sets)
 
Feature Hashing for Scalable Machine Learning: Spark Summit East talk by Nick...
Feature Hashing for Scalable Machine Learning: Spark Summit East talk by Nick...Feature Hashing for Scalable Machine Learning: Spark Summit East talk by Nick...
Feature Hashing for Scalable Machine Learning: Spark Summit East talk by Nick...
 
Ethics in Data Science and Machine Learning
Ethics in Data Science and Machine LearningEthics in Data Science and Machine Learning
Ethics in Data Science and Machine Learning
 
Managing Data Science | Lessons from the Field
Managing Data Science | Lessons from the Field Managing Data Science | Lessons from the Field
Managing Data Science | Lessons from the Field
 
Marriage - LIGHT Ministry
Marriage - LIGHT MinistryMarriage - LIGHT Ministry
Marriage - LIGHT Ministry
 
6 rules of enterprise innovation
6 rules of enterprise innovation6 rules of enterprise innovation
6 rules of enterprise innovation
 
Leverage Social Media for Employer Brand and Recruiting
Leverage Social Media for Employer Brand and RecruitingLeverage Social Media for Employer Brand and Recruiting
Leverage Social Media for Employer Brand and Recruiting
 
Data Science Competition
Data Science CompetitionData Science Competition
Data Science Competition
 
Wapid and wobust active online machine leawning with Vowpal Wabbit
Wapid and wobust active online machine leawning with Vowpal Wabbit Wapid and wobust active online machine leawning with Vowpal Wabbit
Wapid and wobust active online machine leawning with Vowpal Wabbit
 
Vowpal Wabbit
Vowpal WabbitVowpal Wabbit
Vowpal Wabbit
 
DataRobot R Package
DataRobot R PackageDataRobot R Package
DataRobot R Package
 
Data science at the command line
Data science at the command lineData science at the command line
Data science at the command line
 

Similar to Druva Casestudy - HackerEarth

How to recruit excellent talent
How to recruit excellent talentHow to recruit excellent talent
How to recruit excellent talent
HackerEarth
 
An Agile Approach to Machine Learning
An Agile Approach to Machine LearningAn Agile Approach to Machine Learning
An Agile Approach to Machine Learning
Randy Shoup
 
Product design & process analysis at Hirdaramini
Product design & process analysis at HirdaraminiProduct design & process analysis at Hirdaramini
Product design & process analysis at Hirdaramini
Rashmi Dissanayake
 

Similar to Druva Casestudy - HackerEarth (20)

Changing landscape of Technical Recruitment
Changing landscape of Technical RecruitmentChanging landscape of Technical Recruitment
Changing landscape of Technical Recruitment
 
Recru mejor by turisys-new
Recru mejor   by turisys-newRecru mejor   by turisys-new
Recru mejor by turisys-new
 
Practical model management in the age of Data science and ML
Practical model management in the age of Data science and MLPractical model management in the age of Data science and ML
Practical model management in the age of Data science and ML
 
Hiring Hacks: How Squarespace Actively Engages and Sources Engineers
Hiring Hacks: How Squarespace Actively Engages and Sources Engineers Hiring Hacks: How Squarespace Actively Engages and Sources Engineers
Hiring Hacks: How Squarespace Actively Engages and Sources Engineers
 
Dr Abel Sanchez at Bristlecone Pulse 2017 MIT
Dr Abel Sanchez at Bristlecone Pulse 2017 MITDr Abel Sanchez at Bristlecone Pulse 2017 MIT
Dr Abel Sanchez at Bristlecone Pulse 2017 MIT
 
Adopting Data Science and Machine Learning in the financial enterprise
Adopting Data Science and Machine Learning in the financial enterpriseAdopting Data Science and Machine Learning in the financial enterprise
Adopting Data Science and Machine Learning in the financial enterprise
 
HI THIS IS URGENT PLZ FIX ASAP: Critical Vunlerabilities and Bug Bounty Programs
HI THIS IS URGENT PLZ FIX ASAP: Critical Vunlerabilities and Bug Bounty ProgramsHI THIS IS URGENT PLZ FIX ASAP: Critical Vunlerabilities and Bug Bounty Programs
HI THIS IS URGENT PLZ FIX ASAP: Critical Vunlerabilities and Bug Bounty Programs
 
Innovators4Hire presentation
Innovators4Hire presentationInnovators4Hire presentation
Innovators4Hire presentation
 
How to recruit excellent talent
How to recruit excellent talentHow to recruit excellent talent
How to recruit excellent talent
 
An Agile Approach to Machine Learning
An Agile Approach to Machine LearningAn Agile Approach to Machine Learning
An Agile Approach to Machine Learning
 
Charity Majors - Bootstrapping an Ops Team
Charity Majors - Bootstrapping an Ops TeamCharity Majors - Bootstrapping an Ops Team
Charity Majors - Bootstrapping an Ops Team
 
Enhancing the employer brand
Enhancing the employer brandEnhancing the employer brand
Enhancing the employer brand
 
Robert Coop, Stanley Black & Decker - Optimizing Manufacturing with Driverles...
Robert Coop, Stanley Black & Decker - Optimizing Manufacturing with Driverles...Robert Coop, Stanley Black & Decker - Optimizing Manufacturing with Driverles...
Robert Coop, Stanley Black & Decker - Optimizing Manufacturing with Driverles...
 
Product design & process analysis at Hirdaramini
Product design & process analysis at HirdaraminiProduct design & process analysis at Hirdaramini
Product design & process analysis at Hirdaramini
 
HackerRank 2018 Tech Recruiting Report
HackerRank 2018 Tech Recruiting ReportHackerRank 2018 Tech Recruiting Report
HackerRank 2018 Tech Recruiting Report
 
Talenttar Recruitment service offering
Talenttar Recruitment service offeringTalenttar Recruitment service offering
Talenttar Recruitment service offering
 
Data Science-Why?What?How? By Hari Prasad
Data Science-Why?What?How? By Hari PrasadData Science-Why?What?How? By Hari Prasad
Data Science-Why?What?How? By Hari Prasad
 
Social Recruiting Strategies Conference presentation — Jan. 28, 2015
Social Recruiting Strategies Conference presentation — Jan. 28, 2015Social Recruiting Strategies Conference presentation — Jan. 28, 2015
Social Recruiting Strategies Conference presentation — Jan. 28, 2015
 
Scaling Your DevOps Team: Tips for Hiring Technical Talent
Scaling Your DevOps Team: Tips for Hiring Technical TalentScaling Your DevOps Team: Tips for Hiring Technical Talent
Scaling Your DevOps Team: Tips for Hiring Technical Talent
 
Detection Rules Coverage
Detection Rules CoverageDetection Rules Coverage
Detection Rules Coverage
 

More from HackerEarth

More from HackerEarth (20)

How to hire a data scientist recruit page
How to hire a data scientist recruit pageHow to hire a data scientist recruit page
How to hire a data scientist recruit page
 
Build accurate assessment with question analytics
Build accurate assessment with question analyticsBuild accurate assessment with question analytics
Build accurate assessment with question analytics
 
Make your assessments more effective with test analytics
Make your assessments more effective with test analyticsMake your assessments more effective with test analytics
Make your assessments more effective with test analytics
 
How to hire a data scientist
How to hire a data scientistHow to hire a data scientist
How to hire a data scientist
 
Multi-Skilling: A unique way to train, retain and develop in a manufacturing ...
Multi-Skilling: A unique way to train, retain and develop in a manufacturing ...Multi-Skilling: A unique way to train, retain and develop in a manufacturing ...
Multi-Skilling: A unique way to train, retain and develop in a manufacturing ...
 
Interpersonal Dynamics at work
Interpersonal Dynamics at workInterpersonal Dynamics at work
Interpersonal Dynamics at work
 
The Power of HR Analytics
The Power of HR AnalyticsThe Power of HR Analytics
The Power of HR Analytics
 
Leading change management
Leading change managementLeading change management
Leading change management
 
Global Hackathon Report
Global Hackathon ReportGlobal Hackathon Report
Global Hackathon Report
 
How to organize a successful hackathon
How to organize a successful hackathonHow to organize a successful hackathon
How to organize a successful hackathon
 
How hackathons can drive top line revenue growth
How hackathons can drive top line revenue growthHow hackathons can drive top line revenue growth
How hackathons can drive top line revenue growth
 
Managing innovation: A Process Overview
Managing innovation: A Process OverviewManaging innovation: A Process Overview
Managing innovation: A Process Overview
 
Open Innovation - A Case Study
Open Innovation - A Case StudyOpen Innovation - A Case Study
Open Innovation - A Case Study
 
How to Win Machine Learning Competitions ?
How to Win Machine Learning Competitions ? How to Win Machine Learning Competitions ?
How to Win Machine Learning Competitions ?
 
How to become a Data Scientist?
How to become a Data Scientist? How to become a Data Scientist?
How to become a Data Scientist?
 
Smart Switchboard: An home automation system
Smart Switchboard: An home automation systemSmart Switchboard: An home automation system
Smart Switchboard: An home automation system
 
Menstrual Health Reader - mEo
Menstrual Health Reader - mEoMenstrual Health Reader - mEo
Menstrual Health Reader - mEo
 
Richard Matthew Stallman - A Brief Biography
Richard Matthew Stallman - A Brief BiographyRichard Matthew Stallman - A Brief Biography
Richard Matthew Stallman - A Brief Biography
 
CodeRED Casestudy
CodeRED CasestudyCodeRED Casestudy
CodeRED Casestudy
 
Linus Benedict Torvalds - Creator of Linux
Linus Benedict Torvalds - Creator of LinuxLinus Benedict Torvalds - Creator of Linux
Linus Benedict Torvalds - Creator of Linux
 

Druva Casestudy - HackerEarth

  • 2. HackerEarth www.hackerearth.com • Druva came to HackerEarth looking to hire software developers • Specialises in data security and backup • Has over 100s of clients, many of whom are marquee clients • Has offices in India, Europe and USA • The current requirement was for their Pune office About Druva
  • 3. HackerEarth www.hackerearth.com The Problem • Druva’s conventional hiring practice was very Institution biased • Based on qualitative information shared from the recruitment team, Druva’s bar on hiring is very high • Even the brightest students from the best institutions find it hard to make it to Druva • How to find top notch tech talent for Druva • How to get Druva to hire outside their conventional philosophy? The problem statement
  • 4. HackerEarth www.hackerearth.com The Druva Hiring Challenge • An algorithmic coding challenge hosted on HackerEarth • 4 problems of increasing difficulty • 4 hour test
  • 5. • Number of participating developers • Number of developers who attempted one problem • Number of developers who got all problems right • Number of developers who attempted all problems • Number of developers who attempted at least one problem 1757 973 32 300 497 Druva hiring challenge in numbers HackerEarth www.hackerearth.com
  • 6. Over 36% percent of participants were relevant to the job requirement Attracting the relevant talent 36% 64% HackerEarth www.hackerearth.com
  • 7. 2% of the participants were exceptional. They were filtered instantly, at the end of the contest Distinguishing the best from the rest, instantly 2% 98% HackerEarth www.hackerearth.com
  • 8. The Hires • 3 candidates hired from the hiring challenge • Two out of three hires weren’t from premier institutes Darpan Kalra (CGPA - 8.0) Punjab University, Chandighar Datta Maghe College on Engg. , Mumbai IIT Bombay Kapil Dolas (CGPA - 6.8) Sudhakara Rao (CGPA - 9.39) HackerEarth www.hackerearth.com
  • 9. HackerEarth www.hackerearth.com Attracting talent from everywhere • Finding talent from institutes outside the purview of conventional in-house hiring • Identifying hidden talent, irrespective of CGPA or institute • Also giving an innovative way of hiring besttalent from premier institutes through Hackathon method