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Naviga Senior Data Scientist Interview Questions and Answers
Updated
4 Oct 2024
Naviga Senior Data Scientist Interview Experiences
2 interviews found
aadit sah
Interview experience
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one
(1 Question)
- Q1. Basic Ml question
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Round 2 - One-on-one
(1 Question)
- Q1. Random forest explantion and working
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Anonymous
Interview experience
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical
(1 Question)
- Q1. Python questions coding, ml question
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Round 2 - One-on-one
(1 Question)
- Q1. ML questions asked in interview
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asked in
IndusInd Bank
Q1. What is the difference between logistic and linear regression?
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SAP
Q2. Count all pairs of numbers from a list where the ending digit of ... read more
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Kyndryl
Q3. Print rows where a certain criterion is met (ex - in a dataset of ... read more
asked in
Kyndryl
Q4. Extract only India Players from dictionary (using list comprehens ... read more
asked in
Ernst & Young
Q5. How do you handle large amount of data in financial domain?
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Interview Tips & Stories
1w
an operations executive
Job Market Seems to Be Opening Up Again!
I've been getting more interview calls recently, and after months of silence., it’s a relief! Things are looking better out there. Keep building your skills and applying, guys. Patience does pay off!
For context:
I have about 5 years of experience in the IT field, currently working as a security analyst (contract role) for the past 6 months. I've been applying for analyst roles at junior/mid-level positions open to hybrid and remote setups.
Certifications I’ve done so far include CEH, CCNA, AWS Practitioner, and Splunk Essentials.
What’s been your experience with job hunting lately? Let’s help each other out!
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Interview questions from similar companies
sandeep kolli
Interview experience
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical
(1 Question)
- Q1. Missing values outliers, over fitting underfitting
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Round 2 - Technical
(1 Question)
- Q1. Outliers missing values, overfitting underfitting
- Ans.
Understanding outliers, missing values, overfitting, and underfitting in data science.
Outliers are data points that significantly differ from other data points in a dataset.
Missing values are data points that are not present in a dataset.
Overfitting occurs when a model learns noise in the training data rather than the underlying pattern.
Underfitting occurs when a model is too simple to capture the underlying pattern in...
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Skills evaluated in this interview
Naviga Interview FAQs
How many rounds are there in Naviga Senior Data Scientist interview?
Naviga interview process usually has 2 rounds. The most common rounds in the Naviga interview process are One-on-one Round and Technical.
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