TransUnion Senior Data Analyst Interview Questions and Answers

Q1. How to handle imbalanced data
Ans. 
Handling imbalanced data involves techniques like resampling, using different algorithms, and adjusting class weights.
• Use resampling techniques like oversampling or undersampling to balance the data

• Utilize algorithms that are robust to imbalanced data, such as Random Forest or XGBoost

• Adjust class weights in the model to give more importance to minority class
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Q2. Write python code to get correlation between two features
Ans. 
Python code to calculate correlation between two features
• Import pandas library

• Use df.corr() method to calculate correlation between two features

• Specify the two features as arguments to the corr() method
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Q3. How to handle outliers
Ans. 
Outliers can be handled by removing, transforming, or imputing them based on the context of the data.
• Identify outliers using statistical methods like Z-score, IQR, or visualization techniques.

• Remove outliers if they are due to data entry errors or measurement errors.

• Transform skewed data using log transformation or winsorization to reduce the impact of outliers.

• Impute outliers with the median or mean if they are valid ...read more
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Q1. How will you handle client when task is not completed on time.
Ans. 
I would communicate openly with the client, provide updates on the progress, and discuss potential solutions to meet the deadline.
• Communicate proactively with the client about the delay

• Provide regular updates on the progress of the task

• Discuss potential solutions to meet the deadline, such as reallocating resources or extending the timeline

• Apologize for the delay and take responsibility for the situation

• Ensure that the...read more
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Q2. ML,DL AND NLP questions
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Q1. Questions were asked related to ML modelling process
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Q2. Basic python coding
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Q1. Sql regarding question was there
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Basics of Statics and also verbal

Data structures and algorithms trees

Q1. Tell me about yourself
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Q2. Previous experience questions
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Q1. Where do you see yourself in 5 years
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Q2. Tell me about yourself
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Q1. Data science related areas
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Case study related to semantic search

Q1. Questions based on case study
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Q1. How tfidf works in NLP
Ans. 
TF-IDF is a statistical measure used to evaluate the importance of a word in a document.
• TF-IDF stands for Term Frequency-Inverse Document Frequency

• It is used to weigh a word's importance in a document by considering its frequency in the document and across all documents

• The formula for TF-IDF is: TF-IDF = TF * IDF

• TF (Term Frequency) measures how frequently a term appears in a document

• IDF (Inverse Document Frequency) mea...read more
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Q2. What is the difference between group by and window function in sql
Ans. 
Group by is used to group data based on a column while window function is used to perform calculations on a specific window of data.
• Group by is used to aggregate data based on a specific column

• Window function is used to perform calculations on a specific window of data

• Group by is used with aggregate functions like sum, count, avg, etc.

• Window function is used with analytical functions like rank, lead, lag, etc.

• Group by ...read more
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Q1. Tell me about the project you worked on 4 years back
Ans. 
Developed a predictive model to forecast customer churn for a telecom company.
• Used machine learning algorithms like logistic regression and random forest.

• Preprocessed and cleaned the dataset by handling missing values and outliers.

• Performed feature engineering to create new variables for better model performance.

• Evaluated model performance using metrics like accuracy, precision, and recall.

• Implemented the model in prod
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Q2. Why are you leaving your current company
Ans. 
Seeking new challenges and opportunities for growth.
• Looking for a more challenging role that aligns with my career goals.

• Seeking a company that values innovation and encourages professional development.

• Want to work in a more collaborative and diverse team environment.

• Desire to explore new technologies and industries.

• Current company lacks opportunities for advancement or career growth.
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Q1. OOPS concept in java
Ans. 
OOPS concept in Java refers to Object-Oriented Programming principles like inheritance, encapsulation, polymorphism, and abstraction.
• Inheritance allows a class to inherit properties and behavior from another class.

• Encapsulation involves bundling data and methods that operate on the data into a single unit.

• Polymorphism allows objects to be treated as instances of their parent class.

• Abstraction hides the implementation d...read more
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Q2. Difference between lists and tuples
Ans. 
Lists are mutable, ordered collections of items while tuples are immutable, ordered collections of items.
• Lists are defined using square brackets [] while tuples are defined using parentheses ().

• Lists can be modified (add, remove, change elements) while tuples cannot be modified once created.

• Lists are typically used for collections of similar items that may need to be changed, while tuples are used for fixed collections...read more
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