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Nailbiter Interview Questions and Answers
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5 interviews found
(1 Question)
- Q1. Tell us about About yourself
Deputy Manager Interview Questions asked at other Companies
Selected
I applied via Naukri.com and was interviewed before Jul 2023. There were 2 interview rounds.
(1 Question)
- Q1. General questions about yourself
Nothing to say they hire everyone and then terminate as per their wish irrespective of your performance.
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Data Analyst Interview Questions asked at other Companies
(2 Questions)
- Q1. Past experience and skill sets
- Q2. Educational level and score attempt
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Analyst Interview Questions asked at other Companies
I applied via Recruitment Consultant and was interviewed in Nov 2019. There were 4 interview rounds.
Interview Questionnaire
1 Question
- Q1. About what the company does? Am I interested in the field of market research?
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I applied via Naukri.com and was interviewed before Nov 2019. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Why do you want to enter into market research? Do you know what does this company do?
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Balaji
I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.
(2 Questions)
- Q1. A candidate may be contacted by email to schedule a screening call. This is an opportunity to set the tone for the relationship with the candidate.
- Q2. Pre-employment assessments and screening can help identify the least suitable candidates. Common assessments include the General Mental Ability (GMA) test and the Five-Factor Model of Personality test.
(2 Questions)
- Q1. This can include a review of criminal records, employment history, credit checks, and social media accounts.
- Q2. The candidate may be invited for a final interview with the hiring manager. During this interview, the candidate can share insights and reaffirm their interest in the role.
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Selected
I applied via Referral and was interviewed in Oct 2024. There were 3 interview rounds.
(2 Questions)
- Q1. Company profile
- Q2. What is travel and tourism
(2 Questions)
- Q1. What is a dmc?
- Q2. Disadvantages faced by a dmc
(2 Questions)
- Q1. Criteria based questions
- Q2. Situation handling questions
Amit Kunwar
Selected
I applied via campus placement at Indian Institute of Technology (IIT), Jodhpur
(2 Questions)
- Q1. Introduction yourself in details covering each points
- Ans.
Experienced cluster manager with a proven track record in team leadership and strategic planning.
Over 5 years of experience in managing multiple teams and projects simultaneously
Strong leadership skills with the ability to motivate and inspire team members
Expertise in strategic planning and execution to achieve organizational goals
Excellent communication and interpersonal skills for effective team collaboration
Proven t...
- Q2. Location can be for new hotels for max revenue
Product Manager Interview Questions & Answers
Keka HR Payroll Software
Anonymous
posted on 13 Aug 2024
I applied via Recruitment Consulltant
(4 Questions)
- Q1. Talk about your work experience. Detailed questions about projects that I worked on.
- Q2. Why are you interested in switching.
- Ans.
Seeking new challenges and growth opportunities in a dynamic field.
Interested in leveraging my skills and experience in a new environment
Excited about the potential to work on innovative products
Looking for opportunities to expand my knowledge and expertise
- Q3. Do you use any food delivery apps frequently? What would you improve in Swiggy?
- Ans.
Yes, I frequently use food delivery apps like Swiggy.
I use Swiggy at least a few times a week for ordering food.
I appreciate the wide variety of restaurants and cuisines available on Swiggy.
Improvement suggestion: Enhance the user interface for a smoother ordering experience.
Improvement suggestion: Implement a more accurate delivery time estimation system.
Improvement suggestion: Offer more personalized recommendations
- Q4. What is northstar metric, what would be northstar metric for Swiggy
- Ans.
Northstar metric is the key metric that drives the core value of a product. For Swiggy, the northstar metric could be Daily Active Users (DAU) or Orders per User.
Northstar metric is the single metric that best captures the core value that your product delivers to customers.
For Swiggy, the northstar metric could be Daily Active Users (DAU) as it represents the number of unique users who engage with the platform on a dai...
(2 Questions)
- Q1. Explain what you worked on, how did you grow the adoption of the feature.
- Ans.
I worked on improving the adoption of a new feature by conducting user research, implementing user feedback, and creating targeted marketing campaigns.
Conducted user research to understand user needs and preferences
Implemented user feedback to make necessary improvements to the feature
Created targeted marketing campaigns to promote the feature to the right audience
- Q2. Design product to manage risks during an event. Sub-question- How would this change if the target market is tier 3 cities in India
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Data Science Intern Interview Questions & Answers
OneBanc Technologies
Anonymous
posted on 17 Oct 2024
I applied via Campus Placement and was interviewed in Sep 2024. There were 5 interview rounds.
A random topic was given and we had to speak on it
(2 Questions)
- Q1. Why do u want to join us
- Ans.
I am passionate about data science and believe your company offers a great opportunity for growth and learning.
Passionate about data science
Believe company offers growth and learning opportunities
- Q2. A guestimate question, how many tea cups are consumed daily in delhi
(2 Questions)
- Q1. What is Bias In ML?
- Ans.
Bias in ML refers to the systematic error in a model's predictions, leading to inaccurate results.
Bias is the algorithm's tendency to consistently learn the wrong thing by not taking all factors into account.
It can result from the data used to train the model being unrepresentative or skewed.
Bias can lead to unfair or discriminatory outcomes, especially in sensitive areas like hiring or lending decisions.
Examples inclu...
- Q2. Regression concept in ML
- Ans.
Regression in ML is a supervised learning technique used to predict continuous values based on input features.
Regression models establish a relationship between dependent and independent variables.
Common regression algorithms include linear regression, polynomial regression, and logistic regression.
Evaluation metrics for regression models include Mean Squared Error (MSE) and R-squared.
Example: Predicting house prices b...
50 question in 15 mins
(2 Questions)
- Q1. On site evaluation, where various tasks were given
- Q2. Why do u want to join us
- Ans.
I am passionate about data science and believe your company offers a great opportunity for growth and learning.
I am passionate about data science and enjoy working with data to derive insights and make informed decisions.
I believe your company is at the forefront of innovation in the field of data science, and I am excited about the opportunity to learn from experts in the industry.
I am impressed by the projects your c...
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