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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 was interviewed 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
-
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

I was interviewed in May 2022.

Round 1 - Assignment 

Round duration - 60 Minutes
Round difficulty - Easy

Round 2 - Coding Test 

(1 Question)

Round duration - 60 Minutes
Round difficulty - Easy

There were 10 MCQs ranging from Aptitude to Programming MCQs to basics of Data Science.
The coding question only the optimized solution was accepted

  • Q1. 

    Special Sum of Array Problem Statement

    Given an array 'arr' containing single-digit integers, your task is to calculate the total sum of all its elements. However, the resulting sum must also be a single-...

  • Ans. 

    Calculate the total sum of array elements until a single-digit number is obtained by repeatedly summing digits.

    • Iterate through the array and calculate the sum of all elements.

    • If the sum is a single-digit number, return it. Otherwise, repeat the process of summing digits until a single-digit number is obtained.

    • Return the final single-digit sum.

  • Answered by AI
Round 3 - Video Call 

(1 Question)

Round duration - 45 minutes
Round difficulty - Easy

The interview happened in the evening. It was an online video call.
The interviewer was very cooperative. I would say it was rather a discussion session between us.

  • Q1. 

    Clone a Linked List with Random Pointers

    Given a linked list where each node contains two pointers: one pointing to the next node and another random pointer that can point to any node within the list (or ...

  • Ans. 

    Create a deep copy of a linked list with random pointers.

    • Iterate through the original linked list and create a new node for each node in the list.

    • Store the mapping of original nodes to new nodes in a hashmap to handle random pointers.

    • Update the random pointers of new nodes based on the mapping stored in the hashmap.

    • Return the head of the copied linked list.

  • Answered by AI
Round 4 - HR 

Round duration - 10 Minutes
Round difficulty - Easy

It was late night
It was a telephonic call

Interview Preparation Tips

Professional and academic backgroundI completed Computer Science Engineering from Vellore Institute of Technology. I applied for the job as Data Scientist in PuneEligibility criteriaAbove 8 CGPA. Only CSE, IT, ECE, EEE branches were allowed.Bajaj Finserv Ltd. interview preparation:Topics to prepare for the interview - Data Structures and Algorithms, OOPs, DBMS, Data Science Fundamentals, Personal ProjectsTime required to prepare for the interview - 6-8 monthsInterview preparation tips for other job seekers

Tip 1 : Start your preparation early. Start from the very basics before directly moving onto DSA. Get a grasp of the basics in each topic. Practice different varieties of questions from each topic. I would recommend at least 200 questions of DSA.
Tip 2 : Revise your projects before you attend any interview. This is extremely important. You must be able to clearly explain your project along with your role in the project in layman terms to the interviewer.
Tip 3 : Grind hard to achieve your goals but don't take much stress. There's a long way to go.

Application resume tips for other job seekers

Tip 1 : Never, I say never put false things or your friends project in your resume
Tip 2 : Make a 1 page resume. Make your resume in such a way that the interviewer must be able to see the things you want him to see in the very first scan.

Final outcome of the interviewSelected

Skills evaluated in this interview

I applied via Job Portal and was interviewed in Dec 2021. There were 2 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 Resume tips
Round 2 - Technical 

(1 Question)

  • Q1. Metrics and related questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Quite easy if you know ml basics
Interview experience
4
Good
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

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

Round 1 - Coding Test 

If else conditions, data merging, datetime conversions, EDA on a sample data set, duplicates removal and missing value imputation

Round 2 - One-on-one 

(1 Question)

  • Q1. If you have to sell a kids account, how will you Target the customer. What features will you build?
  • Ans. 

    To target customers for a kids account, focus on features like parental controls, educational content, and interactive games.

    • Implement parental controls to assure parents of child safety online.

    • Include educational content to attract parents looking for learning opportunities.

    • Incorporate interactive games to engage children and make the account more appealing.

    • Offer rewards or incentives for completing educational activi...

  • Answered by AI
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in May 2023. There were 2 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 Resume tips
Round 2 - One-on-one 

(2 Questions)

  • Q1. In depth statistics and deep learning questions.
  • Q2. Machine Learning- 2 dependant and 6 independent variables are available, which algorithm we should use?
  • Ans. 

    Use a regression algorithm like linear regression or decision tree regression.

    • Consider using linear regression if the relationship between variables is linear.

    • Decision tree regression can handle non-linear relationships between variables.

    • Evaluate the performance of different algorithms using cross-validation.

    • Consider the interpretability of the model when choosing an algorithm.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident

Skills evaluated in this interview

Data Scientist Interview Questions & Answers

Bajaj Finserv user image Vaibhav Diwakar Gavli

posted on 6 Jan 2025

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

SQL & aptitude question

Round 2 - Coding Test 

1 coding question for 45 min

Round 3 - Technical 

(1 Question)

  • Q1. Detailed questing for machine learning model's.
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Aug 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Python test is taken

Round 2 - HR 

(1 Question)

  • Q1. Salary discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - Good company with bad culture
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. What is cross validation ?
  • Ans. 

    Cross validation is a technique used to assess the performance of a predictive model by splitting the data into training and testing sets multiple times.

    • Cross validation helps to evaluate how well a model generalizes to new data.

    • It involves splitting the data into k subsets, training the model on k-1 subsets, and testing it on the remaining subset.

    • Common types of cross validation include k-fold cross validation and lea...

  • Answered by AI

Skills evaluated in this interview

I applied via Campus Placement and was interviewed in Jan 2022. 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 Resume tips
Round 2 - Coding Test 

Coding related objective questions

Round 3 - Technical 

(1 Question)

  • Q1. Basic questions based on cv. Questions based on python,SQL,ML algorithms

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare topics which are mentioned in cv basic knowledge in how bank's work and all that stuff
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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

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₹9.5 L/yr - ₹12.2 L/yr
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