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GeekBull Consulting Data Scientist Interview Questions, Process, and Tips
Updated
28 May 2024
Top GeekBull Consulting Data Scientist Interview Questions and Answers
- Q1. you have two different vectors with only small change in one of the dimensions. but, the predictions/output from the model is drastically different for each vector. can y ...read more
- Q2. why does optimisers matter? what's their purpose? what do they do in addition to weights-updation that the vanilla gradient and back-prop does?
- Q3. how are LSTMs better than RNNs? what makes them better? how does LSTMs do better what they do better than vanilla RNNs?
2 GeekBull Consulting Data Scientist Interview Experiences
13 questions found
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Anonymous
Interview experience
Bad
Difficulty level
Easy
Duration
Less than 2 weeks
Result
Not Selected
I applied via Referral and was interviewed in Apr 2024.
1 Interview Round
1
Technical Round (1 Question)
- Q1. Time Series forecasting questions Add Answer
Interview Preparation Tips
Interview preparation tips for other job seekers - They are happy with me send an intent to offer, but later declined as requirements changed (time waste)
I applied via Naukri.com and was interviewed in Jun 2022.
2 Interview Rounds
1
Resume Shortlist Round
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
2
One-on-one Round (12 Questions)
- Q1. What is correlation(in plain english)? View Answers (1)
- Q2. What is multi-collinearity? View Answers (1)
- Q3. What are p-values? explain it in plain english without bringing up machine learning? View Answers (1)
- Q4. How are LSTMs better than RNNs? what makes them better? how does LSTMs do better what they do better than vanilla RNNs? View Answers (1)
- Q5. Does pooling in CNNs have any learning? View Answers (1)
- Q6. Why does optimisers matter? what's their purpose? what do they do in addition to weights-updation that the vanilla gradient and back-prop does? View Answers (1)
- Q7. What does KNN do during training? View Answers (1)
- Q8. You have two different vectors with only small change in one of the dimensions. but, the predictions/output from the model is drastically different for each vec...read more View Answers (1)
- Q9. Slope vs gradient (again not in relation to machine learning, and in plain english) View Answers (1)
- Q10. How are boosting and bagging algorithms different? View Answers (1)
- Q11. What is a logarithm? (in linear algebra) what is it's significance and what purpose does it serve? View Answers (1)
- Q12. What are gradients? (not in relation to machine learning) View Answers (1)
Interview Preparation Tips
Interview preparation tips for other job seekers - be strong in fundamentals and be able to explain what and why of every project on your resume and all things things used in those projects.
Skills evaluated in this interview
Get interview-ready with top interview questions
Interview questions from similar companies
Interview experience
Excellent
Difficulty level
-
Duration
-
Result
-
1 Interview Round
1
Technical Round (3 Questions)
- Q1. Difference between bagging and boosting View Answers (1)
- Q2. Parameters of Decision Tree View Answers (1)
- Q3. Explain any one of your project in detail View Answers (1)
Skills evaluated in this interview
Interview experience
Average
Difficulty level
Easy
Duration
Less than 2 weeks
Result
Not Selected
I was interviewed in Oct 2024.
2 Interview Rounds
1
Technical Round (1 Question)
- Q1. Project related questions from your CV Add Answer
2
Technical Round (2 Questions)
- Q1. Question on transformers Add Answer
- Q2. Comparison of transfer learning and fintuning. View Answers (1)
Skills evaluated in this interview
Interview experience
Average
Difficulty level
Moderate
Duration
Less than 2 weeks
Result
Selected
I applied via Approached by Company and was interviewed in Aug 2024.
2 Interview Rounds
1
Coding Test Round
*****, arjumpudi satyanarayana
2
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
Topics to prepare for IBM Data Scientist interview:
- Python
- Machine Learning
Skills evaluated in this interview
Interview experience
Average
Difficulty level
Moderate
Duration
4-6 weeks
Result
Not Selected
I applied via Naukri.com and was interviewed in Sep 2024.
2 Interview Rounds
1
Technical Round (3 Questions)
- Q1. Overfitting and Underfitting Add Answer
- Q2. Find Nth-largest element View Answers (1)
- Q3. NLP Data preprocessing Add Answer
2
HR Round (2 Questions)
- Q1. Salary Discussion Add Answer
- Q2. Fitment discussion Add Answer
Skills evaluated in this interview
Interview experience
Excellent
Difficulty level
Easy
Duration
Less than 2 weeks
Result
Not Selected
I applied via Naukri.com and was interviewed in Jul 2024.
2 Interview Rounds
1
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
2
Technical Round (1 Question)
- Q1. Questions on Basics python(Since i am fresher) Add Answer
Interview Preparation Tips
Interview preparation tips for other job seekers - Overall, it was a good experience for me. Very friendly interviewers. I couldn't make it after the second round. I came to know where I was lacking.
Interview experience
Good
Difficulty level
Moderate
Duration
-
Result
No response
I applied via Naukri.com and was interviewed in Jul 2024.
1 Interview Round
1
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
Interview experience
Good
Difficulty level
Moderate
Duration
2-4 weeks
Result
Not Selected
I applied via Job Portal and was interviewed in Apr 2024.
1 Interview Round
1
Technical Round (9 Questions)
- Q1. Explain XGBoost algoritm View Answers (1)
- Q2. XgBoost algorithm has 10-20 features. How are the splits decided, on which feature are they going to be divided? View Answers (2)
- Q3. Do you have any experience on cloud platform? View Answers (1)
- Q4. What is entropy, information gain? View Answers (1)
- Q5. What is hypothesis testing? View Answers (1)
- Q6. Explain precision and recall, when are they used in which scenario? View Answers (1)
- Q7. What is data imbalance? View Answers (1)
- Q8. What is SMOTE?
Do you have any experience working on Time Series?
Code analysis of global variable? View Answers (1)
- Q9. Find 5th highest salary in every department.
What are window functions
Difference between union and union all
Difference between delete and truncate. Add Answer
Interview Preparation Tips
Interview preparation tips for other job seekers - Prepare basics well. Go through the top questions asked for SQL,Python,Data Science.
Well versed with resume projects and concepts used in it.
Well versed with resume projects and concepts used in it.
Skills evaluated in this interview
Interview experience
Average
Difficulty level
Easy
Duration
4-6 weeks
Result
Selected
I applied via Job Fair and was interviewed in May 2024.
3 Interview Rounds
1
Assignment Round
They gave a span of 3 days to build an AI-powered webapp
2
One-on-one Round (2 Questions)
- Q1. How would you go about learning a new skill Add Answer
- Q2. Experience in cloud technologies View Answers (1)
3
One-on-one Round (2 Questions)
- Q1. Tell me about yourself Add Answer
- Q2. Project details and challenges faced in the project View Answers (1)
Interview Preparation Tips
Interview preparation tips for other job seekers - Be thoroughly prepared with your projects with their details nd skills on your resume
Skills evaluated in this interview
GeekBull Consulting Interview FAQs
How many rounds are there in GeekBull Consulting Data Scientist interview?
GeekBull Consulting interview process usually has 1-2 rounds. The most common rounds in the GeekBull Consulting interview process are Resume Shortlist, One-on-one Round and Technical.
How to prepare for GeekBull Consulting Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at GeekBull Consulting. The most common topics and skills that interviewers at GeekBull Consulting expect are Data Science, Data Warehousing, Deep Learning, Llm and Machine Learning.
What are the top questions asked in GeekBull Consulting Data Scientist interview?
Some of the top questions asked at the GeekBull Consulting Data Scientist interview -
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People are getting interviews through
based on 2 GeekBull Consulting interviews
Referral
Job Portal
50%
50%
Moderate
Confidence
?
Moderate Confidence means the data is based on a sufficient number of responses received from the candidates
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