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CAMS Data Scientist Interview Questions and Answers

Updated 15 May 2024

CAMS Data Scientist Interview Experiences

1 interview found

Interview experience
2
Poor
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
No response

I applied via Campus Placement and was interviewed in Nov 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about your projects
  • Q2. What do you know about mutual funds
  • Ans. 

    Mutual funds are investment vehicles that pool money from multiple investors to invest in a diversified portfolio of securities.

    • Mutual funds are managed by professional fund managers who make investment decisions on behalf of the investors.

    • Investors can buy shares of mutual funds, which represent their ownership in the fund's portfolio.

    • Mutual funds offer diversification, liquidity, and professional management to invest...

  • Answered by AI
Round 2 - HR 

(2 Questions)

  • Q1. Do you have prior experience with ML
  • Q2. What are your long term plans

Interview Preparation Tips

Interview preparation tips for other job seekers - I'll advice not to go for second rate companies like these.

Interview questions from similar companies

I applied via Recruitment Consulltant and was interviewed before Aug 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Difference between CNN and MLP
  • Ans. 

    CNN is used for image recognition while MLP is used for general classification tasks.

    • CNN uses convolutional layers to extract features from images while MLP uses fully connected layers.

    • CNN is better suited for tasks that require spatial understanding like object detection while MLP is better for tabular data.

    • CNN has fewer parameters than MLP due to weight sharing in convolutional layers.

    • CNN can handle input of varying

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Brush up basic statistics . Also prepare atleast 2 , 3 ML algorithms for the interview.

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Many Mcq,s.Similar to cat exam

Round 2 - Case Study 

Ml case study . Eg loan default prediction

Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Jul 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

Medium General Aptitude questions and technical(Big Data, Python etc.)

Round 2 - Technical 

(1 Question)

  • Q1. ML Algorithms (SVM, Random forest, bagging boosting, ridge, etc)
Round 3 - Technical 

(1 Question)

  • Q1. Deep equations and understading of DL and ML Algorithms
  • Ans. 

    Understanding deep equations and algorithms in DL and ML is crucial for a data scientist.

    • Deep learning involves complex neural network architectures like CNNs and RNNs.

    • Machine learning algorithms include decision trees, SVM, k-means clustering, etc.

    • Understanding the math behind algorithms helps in optimizing model performance.

    • Equations like gradient descent, backpropagation, and loss functions are key concepts.

    • Practica...

  • Answered by AI

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. How to extract numbers pre decimal point from a long list of decimalnumbers with efficiency
  • Ans. 

    Use string manipulation to efficiently extract numbers before the decimal point from a list of decimal numbers.

    • Split each decimal number by the decimal point and extract the number before it

    • Use regular expressions to match and extract numbers before the decimal point

    • Iterate through the list and extract numbers using string manipulation functions

  • Answered by AI

Skills evaluated in this interview

I applied via Approached by Company and was interviewed before Sep 2021. There were 3 interview rounds.

Round 1 - Resume Shortlist 
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
Round 2 - Technical 

(1 Question)

  • Q1. Projects and Data Science concepts
Round 3 - Technical 

(1 Question)

  • Q1. Python and coding skills

Interview Preparation Tips

Interview preparation tips for other job seekers - Be through with concepts - ML, stats, NLP
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
-

I applied via Company Website and was interviewed before Feb 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. ML concepts , regression, regularization etc
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed before May 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Self Intro and projects discussion
  • Q2. Feature selection methods
  • Ans. 

    Feature selection methods help in selecting the most relevant features for building predictive models.

    • Feature selection methods aim to reduce the number of input variables to only those that are most relevant.

    • Common methods include filter methods, wrapper methods, and embedded methods.

    • Examples include Recursive Feature Elimination (RFE), Principal Component Analysis (PCA), and Lasso regression.

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

(1 Question)

  • Q1. Central Limit Theorem
  • Ans. 

    Central Limit Theorem states that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.

    • The Central Limit Theorem is essential in statistics as it allows us to make inferences about a population based on a sample.

    • It states that regardless of the shape of the population distribution, the sampling distribution of the sample mean will be approximately normally distribut...

  • Answered by AI

Interview Questionnaire 

3 Questions

  • Q1. Mainly resume based. In detail from the project.
  • Q2. Softmax vs sigmoid
  • Ans. 

    Softmax and sigmoid are both activation functions used in neural networks.

    • Softmax is used for multi-class classification problems, while sigmoid is used for binary classification problems.

    • Softmax outputs a probability distribution over the classes, while sigmoid outputs a probability for a single class.

    • Softmax ensures that the sum of the probabilities of all classes is 1, while sigmoid does not.

    • Softmax is more sensitiv...

  • Answered by AI
  • Q3. Logistics regression (multiclass)

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare the projects mentioned in your resume very well

Skills evaluated in this interview

CAMS Interview FAQs

How many rounds are there in CAMS Data Scientist interview?
CAMS interview process usually has 2 rounds. The most common rounds in the CAMS interview process are One-on-one Round and HR.

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CAMS Data Scientist Interview Process

based on 1 interview

Interview experience

2
  
Poor
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