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Mahindra Finance Data Engineer Interview Questions and Answers

Updated 25 Nov 2024

Mahindra Finance Data Engineer Interview Experiences

1 interview found

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 25 Nov 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via campus placement at Indian Institute of Technology (IIT), Chennai and was interviewed in Oct 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Summary of project and internship in resume.
  • Q2. 1 sql and 1 simple coding question

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare thoroughly your resume.

Interview questions from similar companies

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Spark Dataframe
  • Q2. Java framework
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
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 experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Walk-in and was interviewed in Oct 2023. 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 - One-on-one 

(2 Questions)

  • Q1. Why are you choosing this job?
  • Q2. What do you have qualification to get this job
Round 3 - Skill test 

(1 Question)

  • Q1. About technical skills

Interview Preparation Tips

Topics to prepare for Muthoot Finance Data Entry Operator interview:
  • Yourself and about your qualifi
Interview preparation tips for other job seekers - Attend the interviews
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Data related to finance

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Mar 2024. There was 1 interview round.

Round 1 - Aptitude Test 

Tell me about yourself

Interview Preparation Tips

Interview preparation tips for other job seekers - Do research on the interviewer

I applied via Naukri.com

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Technical 

(1 Question)

  • Q1. MSO365, Outlook, zscaler, McAfee DLP, Encryption, bit locker encryption, end user support, hardware and software installation & Support, Technical issue resolved by quickly, Asset management, camera knowle...
Round 3 - Technical 

(1 Question)

  • Q1. Customer support and manage the remote user and resolve issue quickly

Interview Preparation Tips

Interview preparation tips for other job seekers - I knowledge good for mention all interview questions and point

I applied via Recruitment Consultant and was interviewed in Mar 2021. There were 4 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. How familar with python,SQL,and ml models
  • Ans. 

    I am very familiar with Python, SQL, and ML models.

    • I have extensive experience using Python for data analysis and machine learning tasks.

    • I am proficient in writing SQL queries to extract data from databases.

    • I have worked with a variety of ML models, including regression, classification, and clustering.

    • I am familiar with popular ML libraries such as scikit-learn, TensorFlow, and Keras.

    • I have experience with data preproc...

  • Answered by AI
  • Q2. Ml Classification models including type of metrics
  • Ans. 

    ML classification models use various metrics to evaluate performance.

    • Common metrics include accuracy, precision, recall, F1 score, and AUC-ROC.

    • Accuracy measures the proportion of correct predictions.

    • Precision measures the proportion of true positives among all positive predictions.

    • Recall measures the proportion of true positives among all actual positives.

    • F1 score is the harmonic mean of precision and recall.

    • AUC-ROC me...

  • Answered by AI
  • Q3. How you handle data when outliers are in data
  • Ans. 

    Outliers can significantly impact analysis. It's important to identify and handle them appropriately.

    • Visualize the data to identify outliers

    • Consider the source of the outliers and whether they are valid data points

    • Remove outliers if they are invalid or use robust statistical methods that are less sensitive to outliers

    • Document any handling of outliers in the analysis report

  • Answered by AI
  • Q4. What Type of statistics used In earlier organization to analyse and build models
  • Ans. 

    The organization used descriptive and inferential statistics to analyze and build models.

    • Descriptive statistics were used to summarize and describe the data, such as mean, median, and standard deviation.

    • Inferential statistics were used to make predictions and draw conclusions about the population based on the sample data, such as hypothesis testing and regression analysis.

    • The organization may have also used time series...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Through with all statistics knowledge and model algorithms

Skills evaluated in this interview

Mahindra Finance Interview FAQs

How many rounds are there in Mahindra Finance Data Engineer interview?
Mahindra Finance interview process usually has 1 rounds. The most common rounds in the Mahindra Finance interview process are Technical.

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Mahindra Finance Data Engineer Interview Process

based on 1 interview

Interview experience

4
  
Good
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