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Roadzen Data Scientist Interview Questions and Answers
Roadzen Data Scientist Interview Experiences
1 interview found
Anonymous
Selected
(1 Question)
- Q1. How does LSTM solves problems of GRU and RNN.
- Ans.
LSTM addresses vanishing gradient problem in RNN and captures long-term dependencies better than GRU.
LSTM has three gates (input, output, forget) which help in preserving long-term dependencies.
GRU has two gates (reset, update) which are simpler but may not capture long-term dependencies as effectively as LSTM.
LSTM is better at avoiding vanishing gradient problem compared to RNN due to its gating mechanism.
LSTM is more
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Interview questions from similar companies
Anubhav Kesari
(3 Questions)
- Q1. Questions on Past Project
- Q2. SQL Dense Rank - also having the option to do in Pandas
- Q3. Pandas groupby on a dataset given - required to calculate group wise yoy rate of a column
(2 Questions)
- Q1. Past project ( which he chose , he chose my very first project , which I had forgotten) so ended up screwing it
- Q2. SQL / Pyspark question - difficult question
(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
I applied via Approached by Company and was interviewed in Aug 2024. There was 1 interview round.
(2 Questions)
- Q1. General ml questions
- Q2. Coding on dataframe from kaggle
(2 Questions)
- Q1. Basic Recommendation System Questions
- Q2. A B Testing Questions
I applied via Company Website and was interviewed in Dec 2024. There was 1 interview round.
Easy topics arrays, sequence sum.
Case study design oka6y
(2 Questions)
- Q1. Case study explain
- Q2. Ml concept advance
vishal sharma
Python coding 45 mins
(2 Questions)
- Q1. Fraud data balancing
- Q2. Recommendation metrics
(2 Questions)
- Q1. Why join Turing?
- Q2. Ability to learn new skills
Questions related to basic coding were asked, and some background on projects and discussions alongside maths and statistics concepts
(1 Question)
- Q1. Questions related to projects done at my previous company
(2 Questions)
- Q1. Questions related to my work at previous company
- Q2. ML system design use case type of discussion
Interview Preparation Tips
Also practice some level of basic PyTorch stuff and specially Bert architecture (in terms of code)
I applied via LinkedIn and was interviewed in Mar 2024. There were 3 interview rounds.
Assignment containing the python coding and the pandas data analysis and statistics questions
(2 Questions)
- Q1. Given the tabular data and asked to find the issues in the data and how to solve them.
- Q2. Check if the sentence is palindrome or not.
- Ans.
Check if a sentence is a palindrome or not.
Remove all non-alphanumeric characters and convert to lowercase.
Compare the original sentence with its reverse to check for palindrome.
Example: 'A man, a plan, a canal, Panama' is a palindrome sentence.
(2 Questions)
- Q1. Classical data science questions
- Q2. Given the large dataset and asked to find the answers using pandas
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