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BIOCUBE MATRICS Data Scientist Interview Questions, Process, and Tips for Freshers
Updated
21 May 2024
1 BIOCUBE MATRICS Data Scientist Interview Experience for Freshers
5 questions found
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Anonymous
Interview experience
Excellent
Difficulty level
Moderate
Duration
Less than 2 weeks
Result
Not Selected
I applied via LinkedIn and was interviewed in Apr 2024.
1 Interview Round
1
Technical Round (5 Questions)
- Q1. What is Dropout & Batch Normalization? View Answers (1)
- Q2. Explain YOLO architecture, difference with SSD? View Answers (1)
- Q3. What is confusion Matrix? View Answers (1)
- Q4. What are optimizers in Deep Learning Models? View Answers (1)
- Q5. Difference between Right and Inner Join? View Answers (1)
Interview Preparation Tips
Topics to prepare for BIOCUBE MATRICS Data Scientist interview:
- Computer Vision
- Deep Learning
- Python
- Machine Learning
- API
Skills evaluated in this interview
Top trending discussions
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Interview Tips & Stories
2w (edited)
a consultant
Alternate documents for Employee verification?
My new employer asked for my previous offer letters and salary slips. When I inquired, they said it was for background verification.
However, I feel that providing these documents might affect salary negotiations, and it feels a bit unethical too.
What alternative documents can I provide for employment verification?
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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)
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
shibani shetty
Interview experience
Average
Difficulty level
Hard
Duration
-
Result
No response
2 Interview Rounds
1
Technical Round (1 Question)
- Q1. Basics of Data Science was asked Add Answer
2
Technical Round (1 Question)
- Q1. About projects and technical side of project tech stack Add Answer
vignesh sekar
Interview experience
Average
Difficulty level
Moderate
Duration
2-4 weeks
Result
Selected
I applied via Campus Placement and was interviewed before Dec 2023.
2 Interview Rounds
1
Coding Test Round
The first technical round will cover how computer vision works, including the advantages and disadvantages of regression and random forest. It will also include discussions on when to use precision and recall, methods to reduce false positives, and criteria for selecting different models. Additionally, disadvantages of PCA will be addressed, along with project-related questions. The second round will focus on standard aptitude tests, while the third round will involve a casual conversation with the Executive Vice President.
2
Aptitude Test Round
Normal aptitude questions
Interview Preparation Tips
Interview preparation tips for other job seekers - Focus on machine learning concepts, develop strong knowledge in Python programming, and learn about PCA, clustering, cross-validation, and hyperparameter tuning.
Interview experience
Excellent
Difficulty level
Moderate
Duration
6-8 weeks
Result
Not Selected
I applied via Recruitment Consulltant and was interviewed in Feb 2024.
1 Interview Round
1
Technical Round (1 Question)
- Q1. What is L1 and L2 Regularization? View Answers (2)
Skills evaluated in this interview
Interview experience
Good
Difficulty level
Moderate
Duration
2-4 weeks
Result
Selected
I applied via Job Portal and was interviewed before Feb 2023.
1 Interview Round
1
Technical Round (3 Questions)
- Q1. What are hyperparameters in random forest View Answers (1)
- Q2. How to do QnA system with LLM View Answers (1)
- Q3. How to do unit testing View Answers (1)
Skills evaluated in this interview
Interview experience
Good
Difficulty level
-
Duration
-
Result
-
3 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
Aptitude Test Round
Question related to maths basic and some basic blood relations questions
3
Technical Round (2 Questions)
- Q1. All the questions we asked based on the Resume Add Answer
- Q2. Basic question of program like pattern matching prime number Add Answer
Interview Preparation Tips
Interview preparation tips for other job seekers - Do your best focus on what you have written on resume
Interview experience
Good
Difficulty level
Moderate
Duration
Less than 2 weeks
Result
Selected
I applied via Naukri.com and was interviewed before Oct 2022.
4 Interview Rounds
1
Resume Shortlist Round
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
2
One-on-one Round (3 Questions)
- Q1. Question on based resume points Add Answer
- Q2. 2 to 3 codes Add Answer
- Q3. Project explanation Add Answer
3
One-on-one Round (3 Questions)
- Q1. Deep question and answering to know candidature behavior based on Resume Add Answer
- Q2. Coding in python Add Answer
- Q3. Project explanation Add Answer
4
One-on-one Round (1 Question)
- Q1. Scenario round, knowing how you think at particular situation Add Answer
Interview Preparation Tips
Interview preparation tips for other job seekers - Do best practice of code, screen your resume by yourselves max to max, project explanation is like storytelling to small child.
I applied via Naukri.com and was interviewed in Jul 2022.
2 Interview Rounds
1
Resume Shortlist Round
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all tips
2
One-on-one Round (1 Question)
- Q1. Deep discussion about project did in last year. Basics of statistics like regression, hypothesis testing etc. Machine learning algorithms. Python programming ba...read more Add Answer
Interview Preparation Tips
Topics to prepare for Jio Data Scientist interview:
- Statistics
- Time Series
- Machine Learning
- Python
- Algorithms
BIOCUBE MATRICS Interview FAQs
How many rounds are there in BIOCUBE MATRICS Data Scientist interview for freshers?
BIOCUBE MATRICS interview process for freshers usually has 1 rounds. The most common rounds in the BIOCUBE MATRICS interview process for freshers are Technical.
What are the top questions asked in BIOCUBE MATRICS Data Scientist interview for freshers?
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