United Airlines Data Analyst Interview Questions and Answers

Q1. About your work experience
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Q1. Tell me about yourself
Ans. 
I am a data analyst with a strong background in statistics and data visualization.
• Graduated with a degree in Statistics

• Proficient in programming languages like Python and R

• Experience in analyzing large datasets and creating data visualizations

• Strong problem-solving skills
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Basic coding questions

Q1. Explain in detail about current project? Reason for choosing the algorithm, evaluation metrics and analysis of data
Ans. 
Developed a predictive model for customer churn using logistic regression
• Chose logistic regression for its interpretability and ability to handle binary outcomes

• Evaluated model performance using accuracy, precision, recall, and F1 score

• Analyzed customer data including demographics, purchase history, and customer service interactions
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Q2. Python and sql coding questions - basic
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Q3. Linear regression, xgboost, precision, recall, F1 Score,Correlation
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Q1. Questions about data factory
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Q1. Tell me about a time when you went out of your way to contribute to a project
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Q1. What is the difference between a tuple and a list in Python
Ans. 
A tuple is immutable and uses parentheses, while a list is mutable and uses square brackets in Python.
• Tuples are immutable, meaning their elements cannot be changed after creation

• Lists are mutable, allowing for elements to be added, removed, or modified

• Tuples are created using parentheses, while lists use square brackets

• Example: tuple = (1, 2, 3) vs list = [1, 2, 3]
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Q2. How do you access elements in a python dictionary
Ans. 
Access elements in a Python dictionary using keys
• Use square brackets [] with the key to access the value in the dictionary

• Use the get() method to access a value with a default return if the key does not exist

• Use the keys() method to get a list of all keys in the dictionary
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Q1. Name a time you had to resolve conflict in a team setting?
Ans. 
Resolved conflict in team by facilitating open communication and finding common ground.
• Encouraged team members to share their perspectives and concerns

• Acted as a mediator to help parties understand each other's viewpoints

• Facilitated a compromise or solution that addressed everyone's needs
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Q2. What is one of your biggest weaknesses?
Ans. 
One of my biggest weaknesses is my tendency to overthink and second-guess myself.
• I often spend too much time analyzing a problem before taking action

• I sometimes struggle with making decisions quickly

• I am working on trusting my instincts more and being more decisive
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Choose the best answer and question and answer

Tell the topic an send the assignment

Q1. Explain how did you handle the imbalance in data
Ans. 
I handled data imbalance by using techniques like oversampling, undersampling, SMOTE, or using ensemble methods.
• Used oversampling to increase minority class instances

• Used undersampling to decrease majority class instances

• Applied SMOTE (Synthetic Minority Over-sampling Technique) to generate synthetic samples for minority class

• Utilized ensemble methods like Random Forest or Gradient Boosting to handle imbalance
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Q2. Write a sql query for the given problem statement. Can be solved using advanced concepts like lead and lag
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Advanced sql and basics of data science

Q1. About your work experience
Add your answer

Q1. Tell me about yourself
Ans. 
I am a data analyst with a strong background in statistics and data visualization.
• Graduated with a degree in Statistics

• Proficient in programming languages like Python and R

• Experience in analyzing large datasets and creating data visualizations

• Strong problem-solving skills
Answered by AI
Add your answer