Crif Solutions Interview Questions, Process, and Tips

Case study ratio analysis, market industry analysis

Q1. Domain ratio analysis
Add your answer

Q1. About work experience and salary expectations
Add your answer

Q1. Basics of Logistic regression
Add your answer
Q2. What is Logistic Regression? What is Recall
Ans. 
Logistic Regression is a statistical method used to model the probability of a certain event occurring based on one or more predictor variables. Recall is a metric used to evaluate the performance of a classification model.
• Logistic Regression is used for binary classification tasks, where the outcome variable is categorical and has two classes.

• It estimates the probability that a given input belongs to a certain categor...read more
Answered by AI
Add your answer
Q3. What is Recall?
Ans. 
Recall is a metric used in classification models to measure the ability of the model to find all relevant cases within a dataset.
• Recall is calculated as the number of true positive predictions divided by the sum of true positive and false negative predictions.

• It is also known as sensitivity or true positive rate.

• A high recall indicates that the model is good at identifying all relevant cases, even if it means more fals...read more
Answered by AI
Add your answer
Q4. What is the difference between linear and logistic reg.?
Ans. 
Linear regression is used for predicting continuous values, while logistic regression is used for predicting binary outcomes.
• Linear regression is used when the target variable is continuous and has a linear relationship with the independent variables.

• Logistic regression is used when the target variable is binary or categorical and the relationship between independent variables and the target is non-linear.

• Linear regres...read more
Answered by AI
Add your answer
Q5. What are the performance metrics of Regression
Ans. 
Performance metrics of Regression include Mean Squared Error, R-squared, Mean Absolute Error, etc.
• Mean Squared Error (MSE)

• R-squared (R^2)

• Mean Absolute Error (MAE)

• Root Mean Squared Error (RMSE)

• Adjusted R-squared
Answered by AI
Add your answer

Q1. Why want to change
Ans. 
Seeking new challenges and growth opportunities in a customer-focused role.
• Looking for a role with more customer interaction and impact

• Interested in expanding my skill set and knowledge in customer success

• Seeking a more dynamic and fast-paced work environment

• Want to contribute to the success and satisfaction of customers in a more direct way
Answered by AI
Add your answer
Q2. What is your goal
Ans. 
My goal is to provide exceptional customer service and ensure customer satisfaction.
• Deliver timely and effective solutions to customer inquiries

• Build strong relationships with customers to understand their needs and preferences

• Strive to exceed customer expectations in every interaction
Answered by AI
Add your answer

Q1. All about testing
Add your answer
Q2. Prepare for the manual and automation testing concepts and be confident.
Add your answer
Q3. Confidence and skills
Add your answer
Q4. Strengths and weeknesses
Add your answer

Q1. Basic HR questions
Add your answer
Q2. About the organisation
Add your answer
Q3. Show your willingness to join
Add your answer