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Paynearby Technologies Data Scientist Interview Questions and Answers

Updated 20 Mar 2024

Paynearby Technologies Data Scientist Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Mar 2023. There were 3 interview rounds.

Round 1 - Assignment 

Case Study - Churn Prediction

Round 2 - Technical 

(4 Questions)

  • Q1. ML Questions, Python Questions, SQL Questions
  • Q2. Explain logistic regression
  • Ans. 

    Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.

    • Logistic regression is used when the dependent variable is binary (e.g., 0/1, yes/no).

    • It estimates the probability that a given input belongs to a certain category.

    • The output of logistic regression is a probability score between 0 and 1.

    • It uses the logistic function (sigmoid function) ...

  • Answered by AI
  • Q3. Different types of validation
  • Ans. 

    Different types of validation include cross-validation, holdout validation, and leave-one-out validation.

    • Cross-validation involves splitting the data into multiple subsets and training the model on different combinations of these subsets.

    • Holdout validation involves splitting the data into a training set and a validation set, and training the model on the training set before evaluating it on the validation set.

    • Leave-one...

  • Answered by AI
  • Q4. Outlier, overfitting, underfitting
Round 3 - One-on-one 

(1 Question)

  • Q1. Hiring Manager Round

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - Case Study 

First Question is basic coding question (Term frequecy of words).
Then a case study.
Basic ML questions.

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

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

Round 1 - One-on-one 

(2 Questions)

  • Q1. What is clustering
  • Ans. 

    Clustering is a technique used in data analysis to group similar data points together based on their characteristics.

    • Clustering is an unsupervised learning method.

    • It helps in identifying patterns and relationships in data.

    • Common clustering algorithms include K-means, hierarchical clustering, and DBSCAN.

    • Example: Grouping customers based on their purchasing behavior.

    • Example: Identifying different species of flowers based

  • Answered by AI
  • Q2. How to avoid overfitting
  • Ans. 

    To avoid overfitting, use techniques like cross-validation, regularization, and increasing training data.

    • Use cross-validation to evaluate model performance on unseen data

    • Apply regularization techniques like L1 or L2 regularization to penalize complex models

    • Increase the size of the training dataset to provide more diverse examples

    • Use feature selection or dimensionality reduction methods to reduce the complexity of the m...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare for basics

Skills evaluated in this interview

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

Sql and pandas problems along mcqs on ML

Round 2 - Technical 

(2 Questions)

  • Q1. Linear Regression
  • Q2. Basic Neural Network Implementation
Round 3 - Technical 

(2 Questions)

  • Q1. Question about working of BERT
  • Q2. Word2vec explanation
  • Ans. 

    Word2vec is a technique used to create word embeddings by training a neural network on a large corpus of text.

    • Word2vec is a shallow neural network model that learns to represent words as vectors in a continuous vector space.

    • It captures semantic relationships between words by placing similar words close together in the vector space.

    • There are two main architectures for Word2vec: Continuous Bag of Words (CBOW) and Skip-gr...

  • Answered by AI

Skills evaluated in this interview

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

I applied via Referral and was interviewed in Jul 2024. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Question regarding my resume .It is technical interview
Round 2 - Case Study 

Case study-this is about loan default prediction assignment

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Walk-in and was interviewed in Sep 2023. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Double-check your resume for any spelling mistakes. The recruiter may consider spelling mistakes as careless behavior or poor communication skills.
View all tips
Round 2 - HR 

(4 Questions)

  • Q1. About your education
  • Q2. Asking about company details
  • Q3. Asking about Excel
  • Q4. Regarding self introduction
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. About MS office
  • Q2. Ms office and Excel
  • Q3. Mutual funds basics
Round 2 - Technical 

(1 Question)

  • Q1. About MS office, Typing skills

Interview Preparation Tips

Interview preparation tips for other job seekers - Manager round
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Dec 2024. There was 1 interview round.

Round 1 - Aptitude Test 

It was a basic Aptitude test, Needed to learn Probability, Permutation , Cobination and SQL.
Total Duration 1 Hour.

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Case Study of zomato ?
  • Q2. Some basic math questions. Simultaneous equations .

Interview Preparation Tips

Interview preparation tips for other job seekers - However good you are in the interview in case study you need to get the math problems correct on the first attempt. I got it wrong but answered it correctly within one minute. But they said " i lack attention to detail" and didnt consider me for the next round.
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - HR 

(1 Question)

  • Q1. Brief me about yourself
Round 2 - One-on-one 

(1 Question)

  • Q1. What is your experience as a data analyst?

Paynearby Technologies Interview FAQs

How many rounds are there in Paynearby Technologies Data Scientist interview?
Paynearby Technologies interview process usually has 3 rounds. The most common rounds in the Paynearby Technologies interview process are One-on-one Round, Assignment and Technical.
What are the top questions asked in Paynearby Technologies Data Scientist interview?

Some of the top questions asked at the Paynearby Technologies Data Scientist interview -

  1. explain logistic regress...read more
  2. different types of validat...read more
  3. ML Questions, Python Questions, SQL Questi...read more

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Paynearby Technologies Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more

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Paynearby Technologies Data Scientist Salary
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₹5.1 L/yr - ₹15 L/yr
36% less than the average Data Scientist Salary in India
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