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Poonawalla Fincorp Data Scientist Interview Questions and Answers

Updated 21 Feb 2024

Poonawalla Fincorp Data Scientist Interview Experiences

1 interview found

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

I appeared for an interview in Jan 2024.

Round 1 - Technical 

(1 Question)

  • Q1. He asked me to rate my sql and python out of 5 and gave me a scenario and asked to write a sql for it, it was basic left join and case statement question
Round 2 - Technical 

(1 Question)

  • Q1. This round was basically discussion round with the interviewer, he asked me what i work in and what thing do i take care off as a data scientist

Interview questions from similar companies

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

I applied via Campus Placement and was interviewed before Jul 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Questions on Prob Stats, ML

Round 2 - One-on-one 

(2 Questions)

  • Q1. Models you have worked on
  • Q2. Internship Experience
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Common ways to evaluate Time Series model
  • Ans. 

    Common ways to evaluate Time Series model include AIC, BIC, RMSE, MAE, ACF, PACF, etc.

    • Use Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) to compare models

    • Calculate Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) to assess model accuracy

    • Analyze Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) to check for autocorrelation in residuals

  • Answered by AI
  • Q2. Best ways to handle multicollinearity
  • Ans. 

    Use techniques like feature selection, regularization, PCA, and VIF to handle multicollinearity.

    • Perform feature selection to choose the most relevant variables for the model.

    • Apply regularization techniques like Lasso or Ridge regression to penalize high coefficients.

    • Utilize Principal Component Analysis (PCA) to reduce dimensionality and decorrelate variables.

    • Check for Variance Inflation Factor (VIF) to identify highly

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. Write a function taking input as string and output a dictionary which will give key as characters in these string and values as their frequency of occurrence
  • Q2. TF IDF in NLP
  • Ans. 

    TF IDF is a technique used in NLP to measure the importance of a word in a document within a collection of documents.

    • TF IDF stands for Term Frequency-Inverse Document Frequency.

    • It is used to determine how important a word is in a document relative to a collection of documents.

    • TF IDF is calculated by multiplying the term frequency (TF) of a word in a document by the inverse document frequency (IDF) of the word across al...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Create data frame, make histogram

Interview Preparation Tips

Interview preparation tips for other job seekers - Logistic regression
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. What is life like
  • Q2. What did your dad do

Interview Preparation Tips

Interview preparation tips for other job seekers - dont eat
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Coding test python & SQL

Round 2 - One-on-one 

(2 Questions)

  • Q1. Communication level interview
  • Q2. One to one Discussion
Round 3 - HR 

(2 Questions)

  • Q1. Python coding test
  • Q2. Communication level
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Not Selected

I appeared for an interview in Feb 2024.

Round 1 - Coding Test 

1 hour coding test on intermediate python programming

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well on cloud-based technologies
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. It was more related to my projects
  • Q2. Asked questions on PCA,KNN and Elbow method .
Round 2 - Technical 

(2 Questions)

  • Q1. Asked SVM and Logistic regression, their applications and real life uses
  • Q2. Matrix formation of a knockout Tournament
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Naaaghuuiii hgdtyhb uii7yfghh uyddbkiydd
  • Q2. NAahjuutyijhg guihhftu dfyikhh fujgx
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Nov 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Multiple Choice Questions

Round 2 - HR 

(1 Question)

  • Q1. Why do you want to join us

Interview Preparation Tips

Interview preparation tips for other job seekers - Very good company

Poonawalla Fincorp Interview FAQs

How many rounds are there in Poonawalla Fincorp Data Scientist interview?
Poonawalla Fincorp interview process usually has 2 rounds. The most common rounds in the Poonawalla Fincorp interview process are Technical.
What are the top questions asked in Poonawalla Fincorp Data Scientist interview?

Some of the top questions asked at the Poonawalla Fincorp Data Scientist interview -

  1. This round was basically discussion round with the interviewer, he asked me wha...read more
  2. he asked me to rate my sql and python out of 5 and gave me a scenario and asked...read more

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Poonawalla Fincorp Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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Poonawalla Fincorp Data Scientist Salary
based on 4 salaries
₹9.5 L/yr - ₹12.2 L/yr
29% less than the average Data Scientist Salary in India
View more details

Poonawalla Fincorp Data Scientist Reviews and Ratings

based on 2 reviews

3.0/5

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3.0

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4.9

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Salary

3.0

Job security

4.0

Company culture

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