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Flatworld Solutions Data Analyst Interview Questions and Answers

Updated 30 Dec 2021

Flatworld Solutions Data Analyst Interview Experiences

1 interview found

I applied via Naukri.com and was interviewed before Dec 2020. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Question was about SQL , Excel.

Interview Preparation Tips

Interview preparation tips for other job seekers - Be Confident and answer how much you know.

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
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 - Technical 

(2 Questions)

  • Q1. What is Logistic regression
  • Ans. 

    Logistic regression is a statistical method used to analyze and model the relationship between a binary dependent variable and one or more independent variables.

    • It is a type of regression analysis used for predicting the probability of a categorical dependent variable

    • It is commonly used in marketing, finance, and healthcare industries

    • It uses a sigmoid function to map any real-valued number to a value between 0 and 1

    • Exa...

  • Answered by AI
  • Q2. What are Random Forests
  • Ans. 

    Random Forests is an ensemble learning method for classification, regression and other tasks.

    • Random Forests is a machine learning algorithm that builds multiple decision trees and combines their outputs.

    • It is an ensemble learning method that uses bagging and feature randomness to improve the accuracy and prevent overfitting.

    • Random Forests can be used for classification, regression, feature selection, and outlier detect...

  • Answered by AI
Round 3 - Technical 

(3 Questions)

  • Q1. What is Natural Language Processing
  • Ans. 

    Natural Language Processing is a field of study that focuses on making computers understand human language.

    • It involves using algorithms and statistical models to analyze and interpret human language.

    • NLP is used in various applications such as chatbots, sentiment analysis, and language translation.

    • Examples of NLP tools include NLTK, spaCy, and Stanford CoreNLP.

  • Answered by AI
  • Q2. What is BERT & Transformers
  • Ans. 

    BERT & Transformers are natural language processing models used for tasks such as sentiment analysis, question answering, and language translation.

    • BERT stands for Bidirectional Encoder Representations from Transformers and is a pre-trained language model developed by Google.

    • Transformers are a type of neural network architecture that can process sequential data, such as text, by attending to different parts of the input...

  • Answered by AI
  • Q3. What are common OCR techniques
  • Ans. 

    OCR techniques include preprocessing, segmentation, recognition, and postprocessing.

    • Preprocessing involves enhancing the image quality and removing noise.

    • Segmentation is the process of identifying individual characters or words in the image.

    • Recognition involves using machine learning algorithms to recognize the characters or words.

    • Postprocessing involves correcting errors and improving the accuracy of the recognized te...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Study Technical concepts and algorithms in Machine Learning

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - Coding Test 

Java, python, r, powerbi

Round 2 - Group Discussion 

About powerbi, they have conducted.....

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

(2 Questions)

  • Q1. Walk through your project?
  • Ans. 

    Developed a predictive model to forecast sales based on historical data

    • Collected and cleaned historical sales data

    • Performed exploratory data analysis to identify trends and patterns

    • Built and trained a machine learning model using regression techniques

    • Evaluated model performance using metrics like RMSE and MAE

  • Answered by AI
  • Q2. Behavioral questions?
Round 2 - Technical 

(2 Questions)

  • Q1. Questions based on Advanced Excel like Vlookup, Index match, sumifs, pivot tables
  • Q2. Behavioral questions
Round 3 - HR 

(1 Question)

  • Q1. Salary negotiation

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thorough with your projects
Basic SQL, Advanced Excel, Tableau or Power BI
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
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 

Aptitude regarding Human anatomy & physiology

Round 3 - One-on-one 

(1 Question)

  • Q1. Introduction, Expression
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I appeared for an interview in Dec 2023.

Round 1 - Aptitude Test 

Medical knowledge based questions

Round 2 - Technical 

(2 Questions)

  • Q1. General medical questions
  • Q2. Antidiabetics , gerd, antihypertension,gout,bones,fracture
Round 3 - HR 

(1 Question)

  • Q1. Introducation salary expectation skills personality
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(1 Question)

  • Q1. Introduction, Journey, questions from CV

Interview Questionnaire 

1 Question

  • Q1. What is ur goal after 2 years

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident nd answer
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Aptitude test on reasoning and problem solving

Round 2 - Technical 

(2 Questions)

  • Q1. What is list and tuple
  • Ans. 

    List and tuple are both data structures in Python. Lists are mutable, ordered collections of items, while tuples are immutable, ordered collections.

    • List is mutable, meaning its elements can be changed after creation

    • Tuple is immutable, meaning its elements cannot be changed after creation

    • List is defined using square brackets [], while tuple is defined using parentheses ()

    • Example of list: my_list = [1, 2, 3]

    • Example of tu

  • Answered by AI
  • Q2. How tableau works
  • Ans. 

    Tableau is a data visualization tool that helps users create interactive and shareable dashboards and reports.

    • Tableau connects to various data sources such as Excel, SQL databases, and cloud services.

    • Users can drag and drop fields to create visualizations like charts, graphs, and maps.

    • Tableau allows for interactive filtering and drilling down into data for deeper insights.

    • Users can create dashboards and stories to pres...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Stick with basic

Skills evaluated in this interview

I applied via Campus Placement and was interviewed in Mar 2021. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. There were 4 rounds and interview went for two days. I was asked to speak about capital market and derivatives. Some journal entries and Golden rules of accounts. Also, reason of transactions in trail bal...

Interview Preparation Tips

Interview preparation tips for other job seekers - Sure the candidate must a clear cut knowledge about his domain for technical support. Addition to this excellent communication skill and elective aptitude logical reasoning are extra spices crack any interview. Simply follow C³ i.e, Confidence, Courage, Clever

Flatworld Solutions Interview FAQs

How to prepare for Flatworld Solutions Data Analyst interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Flatworld Solutions. The most common topics and skills that interviewers at Flatworld Solutions expect are API, Advanced Excel, Analytics and SQL.

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