Altimetrik Talent Acquisition Specialist Interview Questions and Answers

Some mcq questions and coding question. Both where easy to medium level. Prepare combination/permutation/Time complexity etc

A question related to Binary search and some other follow ups.

30mins on Verbal, QA and Logiacal Reasoning

Topic will be given for GD

Q1. Tell me about yourself
Ans. 
Experienced Talent Acquisition Specialist with a passion for connecting top talent with leading organizations.
• Over 5 years of experience in full-cycle recruitment

• Strong expertise in sourcing, interviewing, and negotiating offers

• Proven track record of successfully filling positions in various industries

• Passionate about building relationships and finding the perfect fit for both candidates and clients
Answered by AI
Add your answer
Q2. Why do you want to join Collabera?
Ans. 
I want to join Collabera because of its reputation for providing excellent career growth opportunities and a supportive work environment.
• Collabera has a strong reputation in the industry for providing opportunities for career growth and development.

• I am impressed by Collabera's commitment to fostering a supportive and inclusive work environment.

• I believe that Collabera's values align with my own professional goals and ...read more
Answered by AI
Add your answer

They gave one topic and I was interviewed with 7 other candidates. The topic is easy.

Q1. The interviewer asked general questions and basically analyse the communication skills
Add your answer
Q2. Tell me about your family background
Add your answer

Q1. HR asked general questions about family, life and about the job role.
Add your answer

Q1. I was asked to prepare a presentation and questions were asked based on it and some other questions are asked.
Add your answer

Some easy question problem solving skills check and reaosoning question

Q1. Explain random forest
Ans. 
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
• Random forest is a type of ensemble learning method.

• It builds multiple decision trees during training.

• Each tree is built using a subset of the training data and a random subset of features.

• The final prediction is made by averaging the predictions of all the individual trees.

• Random...read more
Answered by AI
Add your answer
Q2. What is boosting
Ans. 
Boosting is a machine learning ensemble technique where multiple weak learners are combined to create a strong learner.
• Boosting is an iterative process where each weak learner is trained based on the errors of the previous learners.

• Examples of boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.

• Boosting is used to improve the accuracy of models and reduce bias and variance.
Answered by AI
Add your answer

Q1. PHP and JS Oops concepts
Add your answer

Q1. Manager Round with technical questions
Add your answer

Q1. Salary Negotiation, company policies etc...
Add your answer