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Kriya It Data Scientist Interview Questions and Answers
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Interview questions from similar companies
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
(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.
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.
Swapnil Telrandhe
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 LinkedIn and was interviewed in May 2021. There were 4 interview rounds.
Interview Questionnaire
6 Questions
- Q1. Machine Learning questions, graphs were not asked
- Q2. Deep Learning
- Q3. Machine Learning
- Q4. Core ML Principle, CV
- Q5. MLP
- Q6. Recommendation Systems
Interview Preparation Tips
Round type - Coding
Round duration - 45mins
Round description - Coding question were askedRound 2
Round type - Machine Learning
Round duration - 45minsRound 3
Round type - TechnicalShareChat interview Preparation:What resources did you refer to prepare for the interview? - As many books/resources on the internet because the topic is very vast. Do not refer to only one resource.What tips would you give to other job seekers? - Machine Learning matters a lot here, coding is very easy. You have to be well versed with ML. ML round of ShareChat was the most difficult round I have encountered.What was the final outcome of your interview?Selected
(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
(2 Questions)
- Q1. Basic Recommendation System Questions
- Q2. A B Testing Questions
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 Recruitment Consulltant and was interviewed in Jul 2024. There were 3 interview rounds.
(1 Question)
- Q1. Breadth of data science, Linear algebra, prob&stats, Lin reg, Log reg, DT, RF
(1 Question)
- Q1. Grilled in Mathematics behind Lin Reg, closed form solution, scalebility of lin reg
(1 Question)
- Q1. System design, took a project from my resume and asked me to design the whole solution. Project was a chatbot
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