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TransUnion Data Scientist Interview Questions and Answers
TransUnion Data Scientist Interview Experiences
2 interviews found
(2 Questions)
- Q1. Write a few python queries and some live sql coding and pyspark coding
- Q2. Machine learning questions. Way too deep. which is not even required
Interview Preparation Tips
I applied via Naukri.com and was interviewed in May 2024. There were 2 interview rounds.
(1 Question)
- Q1. How to treat multicollinearity, imbalanced dataset
- Ans.
Multicollinearity can be treated by using techniques like feature selection, PCA, or regularization. Imbalanced datasets can be addressed by resampling techniques like oversampling or undersampling.
For multicollinearity, consider using techniques like feature selection to remove redundant variables, PCA to reduce dimensionality, or regularization like Lasso or Ridge regression.
For imbalanced datasets, try resampling te...
(2 Questions)
- Q1. Logistic regression in detail
- Ans.
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
Logistic regression is used when the dependent variable is binary (0/1, True/False, Yes/No, etc.)
It estimates the probability that a given observation belongs to a particular category.
The output of logistic regression is a probability score between 0 and 1.
It uses the logistic function...
- Q2. Project related questions based on Machine learning
Interview Preparation Tips
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
I applied via Naukri.com and was interviewed in Sep 2023. There were 4 interview rounds.
(1 Question)
- Q1. Data science related areas
Case study related to semantic search
(1 Question)
- Q1. Questions based on case study
I applied via Naukri.com and was interviewed in Nov 2022. There were 3 interview rounds.
(2 Questions)
- 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...
- 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 ...
(2 Questions)
- 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
- 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.
Interview Preparation Tips
The recruiter said that you are selected for 2nd round and this will be with the Vice president.
That vice president did not have any time sense and the interview was scheduled at 10:30 in the night and he joined at 10:45, he started asking about the projects which was done 4 years ago(which was not stall mentioned in the resume). Later started asking about the current project.
Then he asked how did you do hyperparameter tuning, I said using GridSearchCV, he asked did you not use scikit-learn?. He does not even know that GridSerachCv is one of the class inside scikit-learn.
Later I contacted recruiter, she started ignoring my calls, after trying for 5 times, I asked did you get any feedback,? she said still I have not got. How much time they want to say if I am selected for the next round or rejected? I said even if I am not selected, please inform me. But still she has not said anything.
Skills evaluated in this interview
Astha Agarwal
Selected
I applied via campus placement at Dehradun Institute of Technology, Dehradun and was interviewed before Oct 2023. There were 3 interview rounds.
The first was a mcq based coding round for campus placement
This was a pairing coding round
(1 Question)
- Q1. Explain different unsupervised algo
- Ans.
Unsupervised algorithms are used to find patterns in data without labeled outcomes.
K-means clustering: partitions data into K clusters based on similarity
Hierarchical clustering: creates a tree of clusters based on similarity
Principal Component Analysis (PCA): reduces dimensionality by finding orthogonal components
Association rule mining: discovers interesting relationships between variables in large datasets
Skills evaluated in this interview
Associate Data Scientist Interview Questions & Answers
Wipro Digital
Anonymous
posted on 11 Oct 2020
Interview Questionnaire
1 Question
- Q1. How to check given two random variables are independent. Why it is important for Naive Bayes classification.
- Ans.
To check if two random variables are independent and its importance in Naive Bayes classification.
Check if the joint probability of the two variables is equal to the product of their marginal probabilities.
If the joint probability is not equal to the product of the marginal probabilities, then the variables are dependent.
Independence assumption is important in Naive Bayes classification as it simplifies the calculation...
I applied via Company Website and was interviewed in Aug 2023. There were 4 interview rounds.
(1 Question)
- Q1. Concepts and tools
Coding on the tools we use
(1 Question)
- Q1. Not cleared the round
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Nov 2022. There were 3 interview rounds.
(2 Questions)
- 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...
- 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 ...
(2 Questions)
- 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
- 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.
Interview Preparation Tips
The recruiter said that you are selected for 2nd round and this will be with the Vice president.
That vice president did not have any time sense and the interview was scheduled at 10:30 in the night and he joined at 10:45, he started asking about the projects which was done 4 years ago(which was not stall mentioned in the resume). Later started asking about the current project.
Then he asked how did you do hyperparameter tuning, I said using GridSearchCV, he asked did you not use scikit-learn?. He does not even know that GridSerachCv is one of the class inside scikit-learn.
Later I contacted recruiter, she started ignoring my calls, after trying for 5 times, I asked did you get any feedback,? she said still I have not got. How much time they want to say if I am selected for the next round or rejected? I said even if I am not selected, please inform me. But still she has not said anything.
Skills evaluated in this interview
Rudra Rana
(2 Questions)
- Q1. Questions were asked related to ML modelling process
- Q2. Basic python coding
I applied via Naukri.com and was interviewed in Sep 2023. There were 4 interview rounds.
(1 Question)
- Q1. Data science related areas
Case study related to semantic search
(1 Question)
- Q1. Questions based on case study
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TransUnion Data Scientist Interview Process
based on 2 interviews
Interview experience
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TransUnion Data Scientist Reviews and Ratings
based on 1 review
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