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Udaan
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Udaan Data Scientist Interview Questions and Answers
Udaan Data Scientist Interview Experiences
1 interview found
Anonymous
(2 Questions)
- Q1. Tell me about your projects?
- Q2. How do you approach the project if you are using logistic regression model?
- Ans.
Approach involves data preprocessing, model training, evaluation, and interpretation.
Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.
Split the data into training and testing sets.
Train the logistic regression model on the training data.
Evaluate the model using metrics like accuracy, precision, recall, and F1 score.
Interpret the model coefficients to under...
(2 Questions)
- Q1. What are you future goals?
- Q2. What would you do if your interested field doesnt have any work in the company?
- Ans.
I would seek opportunities to apply my skills in related fields within the company.
Explore other departments or teams within the company that may have projects related to my field of interest
Offer to collaborate with colleagues in different departments to bring a new perspective to their projects
Seek out professional development opportunities to expand my skills and knowledge in related areas
Skills evaluated in this interview
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Interview Questionnaire
1 Question
- Q1. Basic ML questions and projects
(2 Questions)
- Q1. Simple groupby questions in pandas?
- Q2. Group by questions in SQL?
Interview Preparation Tips
I applied via LinkedIn and was interviewed in Sep 2020. There were 5 interview rounds.
Interview Questionnaire
1 Question
- Q1. Explain VIF
- Ans.
VIF stands for Variance Inflation Factor, a measure of multicollinearity in regression analysis.
VIF is used to detect the presence of multicollinearity in regression analysis.
It measures how much the variance of the estimated regression coefficient is increased due to multicollinearity.
A VIF value of 1 indicates no multicollinearity, while a value greater than 1 suggests increasing levels of multicollinearity.
A commonl...
Interview Preparation Tips
I applied via Company Website and was interviewed in Jan 2024. There were 2 interview rounds.
(1 Question)
- Q1. Transformer models.
Related to Mathematical intuition in Deep learning.
Jayanti Gautam
(1 Question)
- Q1. Explain bagging vs boosting
- Ans.
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models.
Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.
Boosting involves training multiple models sequentially, where each subsequent model corrects the errors made by the previ...
How to judge if the comment is actually describing a product
Business Related case study, signed NDA
(2 Questions)
- Q1. Count number of Parameters in BERT
- Q2. 3 sum array problem
Interview Preparation Tips
Selected
I applied via Campus Placement and was interviewed before Apr 2023. There were 2 interview rounds.
(1 Question)
- Q1. Came for campus. Asked questions around basics of ML namely CV, L1, L2 loss & their assumptions, Boosting and Bagging
(1 Question)
- Q1. Gave a case study on solving a NLP problem
I applied via Approached by Company and was interviewed before Sep 2021. There were 3 interview rounds.
Explain dynamic programming with memoization
(2 Questions)
- Q1. Where are you from, and why are you joining the company
- Q2. Why are you joining the company
Interview Preparation Tips
I applied via Referral and was interviewed in Nov 2024. There was 1 interview round.
(2 Questions)
- Q1. SQL and pandas coding
- Q2. Resume projects deep dive
Interview Preparation Tips
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Udaan Interviews By Designations
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Udaan Data Scientist Interview Process
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Udaan Data Scientist Reviews and Ratings
based on 4 reviews
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