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Razor Group Data Science Intern Interview Questions and Answers
Razor Group Data Science Intern Interview Experiences
1 interview found
Anonymous
Filter data based on python and pandas
(2 Questions)
- Q1. Task based - Detailed description of task
- Q2. XG Boost, CNNs was asked based on the resume project
(2 Questions)
- Q1. Demand forcasting was asked with a real life example to be solved
- Q2. Guestimate kind of question with a real life example
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Interview questions from similar companies
Selected
I applied via Company Website and was interviewed before Dec 2023. There were 3 interview rounds.
Categories of the CAT exam include Quantitative Aptitude, Verbal Ability, Data Interpretation and Logical Reasoning, and Graphical questions.
Medium level. Focus on SQL subqueries application.
(2 Questions)
- Q1. Statistical questions related to different hypothesis testing
- Q2. Questions related to different machine learning model
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
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 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. Basic Recommendation System Questions
- Q2. A B Testing Questions
Python programming,SQL question
(2 Questions)
- Q1. Asked some puzzle questions
- Q2. Asked one leetcode easy question. 3 sum
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
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