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Revoquant Ai Data Scientist Interview Questions and Answers
1 interview found
Anonymous
I applied via Referral and was interviewed in Sep 2023.
3 Interview Rounds
Resume Shortlist Round
HR Round (1 Question)
- Q1. Normal general about your work experience. Add Answer
Technical Round (4 Questions)
- Q1. Technical interview was too much rude in behaviour. He even doesn't know how to took interview. Don't waste your time to give Data scientist interview here. Add Answer
- Q2. Irrelevant questionss Add Answer
- Q3. Irrelevant questions Add Answer
- Q4. Irrelevant questionsss Add Answer
Interview questions from similar companies
I applied via Referral and was interviewed in Nov 2024.
1 Interview Round
Technical Round (2 Questions)
- Q1. SQL and pandas coding Add Answer
- Q2. Resume projects deep dive Add Answer
Interview Preparation Tips
Selected
I applied via Approached by Company and was interviewed in Aug 2024.
2 Interview Rounds
Coding Test Round
*****, arjumpudi satyanarayana
Technical Round (5 Questions)
- Q1. What is the python language View Answers (1)
- Q2. What is the code problems View Answers (1)
- Q3. What is the python code View Answers (1)
- Q4. What is the project View Answers (1)
- Q5. What is the lnderssip View Answers (1)
Interview Preparation Tips
- Python
- Machine Learning
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Jul 2024.
2 Interview Rounds
One-on-one Round (3 Questions)
- Q1. Tell me about yourself? View Answers (1)
- Q2. Describe in detail about one of my main project. View Answers (1)
- Q3. Few questions related to my projects. Add Answer
Technical Round (1 Question)
- Q1. Questions on Basics python(Since i am fresher) Add Answer
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Jul 2024.
1 Interview Round
Technical Round (6 Questions)
- Q1. Which GenAI projects I have worked on Add Answer
- Q2. What is the context window in LLMs View Answers (1)
- Q3. What is top_k parameter View Answers (1)
- Q4. What are regex patterns in python View Answers (1)
- Q5. What are iterators and tuples View Answers (1)
- Q6. Do I have REST API experience View Answers (1)
Skills evaluated in this interview
G R
I applied via Naukri.com and was interviewed in Mar 2024.
3 Interview Rounds
One-on-one Round (3 Questions)
- Q1. Machine learning algorithms. View Answers (1)
- Q2. Credit risk life cycle Add Answer
- Q3. Pandas related questions Add Answer
One-on-one Round (3 Questions)
- Q1. Steps of developing a credit risk model View Answers (1)
- Q2. Pandas related questions Add Answer
- Q3. Bagging and Boosting Add Answer
One-on-one Round (3 Questions)
- Q1. Explain AIC and BIC View Answers (1)
- Q2. Difference between xgboost and lightgbm View Answers (1)
- Q3. Bagging and boosting Add Answer
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Jul 2024.
1 Interview Round
Technical Round (1 Question)
- Q1. Pandas basics and SQL joins nlp Add Answer
Interview Preparation Tips
1 Interview Round
Technical Round (2 Questions)
- Q1. Number of Duplicate words in a string View Answers (1)
- Q2. Chunking in LLM View Answers (1)
Skills evaluated in this interview
Mr. A K
2 Interview Rounds
Aptitude Test Round
Very easy and but selection is basis
Coding Test Round
We are looking to hire incredible Python Developers interested in working with a US Startup. If you are truly passionate about designing and building machine learning solutions using python, you’re looking for a job where you can work from anywhere- and we mean anywhere and are excited about gaining experience in a Startup, then this is the position for you. Be it your next vacation spot or a farm out in the country, if you have working internet, you can work remotely from your chosen location. No long commutes or rushing to in-person meetings. Ready to work hard and play harder? Let’s work together.
Interview Preparation Tips
• Excellent understanding of machine learning techniques and algorithms, such as Neural
Network, Random Forest, Gradient Boosting
• Experience with common data science toolkits, such as Anaconda, Python, SQL
• Strong data visualization skills and ability to present insights from analysis.
• Proficient in writing queries using SQL.
• Good programming skills in Python, with an ability to write production ready code.
Nice to have:
• Experience with working with version control software like Git etc.
• Experience with AWS Stack, Apache Spark is preferred.
1 Interview Round
Technical Round (4 Questions)
- Q1. What is stemming and lematization View Answers (1)
- Q2. Python coding about default values in class and funtions Add Answer
- Q3. Kmeans clustering evaluation Add Answer
- Q4. How to measure multicollinearity View Answers (1)
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