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TVS Credit Data Scientist Interview Questions and Answers
TVS Credit Data Scientist Interview Experiences
1 interview found
Anonymous
Selected
I applied via Campus Placement and was interviewed before Jul 2023. There were 2 interview rounds.
Questions on Prob Stats, ML
(2 Questions)
- Q1. Models you have worked on
- Q2. Internship Experience
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Interview questions from similar companies
(2 Questions)
- Q1. Common ways to evaluate Time Series model
- Ans.
Common ways to evaluate Time Series model include AIC, BIC, RMSE, MAE, ACF, PACF, etc.
Use Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) to compare models
Calculate Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) to assess model accuracy
Analyze Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) to check for autocorrelation in residuals
- Q2. Best ways to handle multicollinearity
- Ans.
Use techniques like feature selection, regularization, PCA, and VIF to handle multicollinearity.
Perform feature selection to choose the most relevant variables for the model.
Apply regularization techniques like Lasso or Ridge regression to penalize high coefficients.
Utilize Principal Component Analysis (PCA) to reduce dimensionality and decorrelate variables.
Check for Variance Inflation Factor (VIF) to identify highly
(2 Questions)
- Q1. Write a function taking input as string and output a dictionary which will give key as characters in these string and values as their frequency of occurrence
- Q2. TF IDF in NLP
- Ans.
TF IDF is a technique used in NLP to measure the importance of a word in a document within a collection of documents.
TF IDF stands for Term Frequency-Inverse Document Frequency.
It is used to determine how important a word is in a document relative to a collection of documents.
TF IDF is calculated by multiplying the term frequency (TF) of a word in a document by the inverse document frequency (IDF) of the word across al...
Skills evaluated in this interview
Create data frame, make histogram
Interview Preparation Tips
Selected
I applied via Recruitment Consulltant and was interviewed before Nov 2023. There were 2 interview rounds.
Multiple Choice Questions
(1 Question)
- Q1. Why do you want to join us
Interview Preparation Tips
(2 Questions)
- Q1. Naaaghuuiii hgdtyhb uii7yfghh uyddbkiydd
- Q2. NAahjuutyijhg guihhftu dfyikhh fujgx
(2 Questions)
- Q1. What is life like
- Q2. What did your dad do
Interview Preparation Tips
I appeared for an interview in Feb 2024.
1 hour coding test on intermediate python programming
Interview Preparation Tips
(2 Questions)
- Q1. It was more related to my projects
- Q2. Asked questions on PCA,KNN and Elbow method .
(2 Questions)
- Q1. Asked SVM and Logistic regression, their applications and real life uses
- Q2. Matrix formation of a knockout Tournament
I applied via Campus Placement and was interviewed in Oct 2024. There were 3 interview rounds.
Asked questions of finance and aptitude
(3 Questions)
- Q1. What is machine learning?
- Ans.
Machine learning is a branch of artificial intelligence that involves developing algorithms and models that enable computers to learn from and make predictions or decisions based on data.
Machine learning is a subset of artificial intelligence that focuses on developing algorithms that can learn from and make predictions or decisions based on data.
It involves training models on large datasets to recognize patterns and m...
- Q2. What do you know about SQL?
- Ans.
SQL is a programming language used for managing and manipulating relational databases.
SQL stands for Structured Query Language
It is used to retrieve and manipulate data in relational databases
Common SQL commands include SELECT, INSERT, UPDATE, DELETE
SQL can be used to create tables, indexes, and views
Examples of SQL databases include MySQL, PostgreSQL, Oracle
- Q3. What you know about software Development?
- Ans.
Software development involves creating, designing, testing, and maintaining software applications.
Software development includes coding, testing, debugging, and documenting software applications.
Developers use programming languages like Java, Python, C++, etc. to write code.
Agile and Waterfall are common software development methodologies.
Version control systems like Git are used to manage code changes.
Software developm...
(2 Questions)
- Q1. What are the algorithms you know in machine learning and their details ?
- Ans.
Various machine learning algorithms with brief details
Supervised Learning: Linear Regression, Logistic Regression, Support Vector Machines (SVM), Decision Trees, Random Forest
Unsupervised Learning: K-means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA)
Reinforcement Learning: Q-Learning, Deep Q-Networks (DQN)
Neural Networks: Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), L
- Q2. Python questions
Interview Preparation Tips
Skills evaluated in this interview
I applied via Company Website and was interviewed before Jun 2020. There was 1 interview round.
Interview Questionnaire
3 Questions
- Q1. HE or LAP kya hai define karo
- Q2. Marketing kese karoge
- Q3. Aap aavas finance ke bare me kya jante ho.
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TVS Credit Data Scientist Interview Process
based on 1 interview
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TVS Credit Data Scientist Reviews and Ratings
based on 8 reviews
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