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Numadic Data Operations Executive Interview Questions and Answers

Updated 16 Apr 2021

Numadic Data Operations Executive Interview Experiences

1 interview found

I applied via Referral and was interviewed in Oct 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. How do we calculate the weight in transportation industry?
  • Ans. 

    Weight in the transportation industry is calculated using various methods such as weighing scales, load cells, and volumetric calculations.

    • Weight can be measured using weighing scales that are placed on the ground or integrated into vehicles.

    • Load cells are used to measure the weight of individual components or cargo within a transportation system.

    • Volumetric calculations are used to estimate the weight of irregularly sh...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident while getting interviewed

Interview questions from similar companies

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
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Jul 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Practice sql as much as you can

Round 2 - Aptitude Test 

Be good with nath and reasoning

Round 3 - Aptitude Test 

Reasoning was asked

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn more practice more
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - Coding Test 

Hackerrank test mostly on python and sql

Round 2 - Technical 

(2 Questions)

  • Q1. SQL based questions
  • Q2. Python based questions

I applied via Campus Placement

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 - Aptitude Test 

30 Questions - 90 minutes
Difficulty level - medium

Round 3 - Technical 

(1 Question)

  • Q1. General Introduction, then cross questions on projects mentioned in resume. Discussion on interest and my field of interest. After that the interviewer tested my coding skills in sql by asking 7-8 question...
Round 4 - Technical 

(1 Question)

  • Q1. Basic Introduction. Some guesstimate questions. Some questions related to business analysis. Finally he asked me about working of various ML algorithms mentioned in my resume.
Round 5 - HR 

(1 Question)

  • Q1. More of a formal talk. About my family background, my projects, what were my role in them. How do I manage myself while on a project. Finally confirmation on relocation availability.

Interview Preparation Tips

Interview preparation tips for other job seekers - Brush up your sql and ML topics. Have a knowledge about how to answer guesstimate problems.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via campus placement at Indian Institute of Technology (IIT), Mumbai and was interviewed before Nov 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Basic python, sql and pandas questions

Round 2 - Technical 

(2 Questions)

  • Q1. Case study (Probability questions)
  • Q2. Resume projects
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Walk-in and was interviewed in Dec 2022. There were 4 interview rounds.

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 - Aptitude Test 

Sql, power Bi basic and Reporting knowledge

Round 3 - Group Discussion 

Sql knowledge , use of power bi

Round 4 - Coding Test 

Salary discussion round

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

I applied via Approached by Company and was interviewed before Jun 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Explain basic ML model
  • Ans. 

    A basic machine learning model is a mathematical algorithm that learns patterns from data to make predictions or decisions.

    • Uses labeled data to train the model

    • Can be supervised or unsupervised

    • Examples include linear regression, decision trees, and k-means clustering

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - very friendly

Skills evaluated in this interview

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

I applied via Referral and was interviewed before Jun 2023. There were 3 interview rounds.

Round 1 - Coding Test 

2 DSA, 1 SQL, 5 ML MCQ

Round 2 - One-on-one 

(2 Questions)

  • Q1. Probability Questions
  • Q2. Tree Based Models
Round 3 - One-on-one 

(2 Questions)

  • Q1. Probability Questions
  • Q2. Transformer Architecture
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Coding Test 

Intermediate level coding round

Round 2 - Technical 

(2 Questions)

  • Q1. Project explaination
  • Q2. Explain project ind detail
  • Ans. 

    Developed a predictive analytics model to forecast customer churn for a telecommunications company.

    • Collected and cleaned customer data from various sources

    • Performed exploratory data analysis to identify patterns and trends

    • Built a machine learning model using logistic regression to predict customer churn

    • Evaluated the model's performance using metrics such as accuracy, precision, and recall

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Open Financial Technologies Private Limited Data Analyst interview:
  • SQL
  • Python
  • Dashboards
Interview preparation tips for other job seekers - all the best

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