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Fractal Analytics Analytics Consultant Interview Questions and Answers

Updated 3 Jul 2024

Fractal Analytics Analytics Consultant Interview Experiences

2 interviews found

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

I applied via Naukri.com and was interviewed in Jun 2024. There was 1 interview round.

Round 1 - Coding Test 

SQL and python questions on hackerrank

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

I applied via Naukri.com and was interviewed before Jul 2023. There was 1 interview round.

Round 1 - Assignment 

Sql and python coding question in hackerrank

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I applied via Campus Placement and was interviewed before Dec 2020. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Tell abt experience in AI
  • Ans. 

    I have experience in developing AI models for predictive analytics and natural language processing.

    • Developed predictive models for customer churn and sales forecasting using machine learning algorithms

    • Built chatbots using natural language processing techniques to improve customer service

    • Implemented computer vision models for image recognition in retail industry

    • Used deep learning models for sentiment analysis of social ...

  • Answered by AI
  • Q2. I have worked on ML algo

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well on basic aptitude questions and also have some knowledge on Python and SQL.It is great of you know natural language processing and computer vision.

I applied via Referral and was interviewed in Apr 2021. There were 4 interview rounds.

Interview Questionnaire 

6 Questions

  • Q1. Questions related to imbalance data and metrics. How to handle it?
  • Q2. Random Forest vs XGBoost
  • Ans. 

    Random Forest and XGBoost are both ensemble learning algorithms used for classification and regression tasks.

    • Random Forest is a bagging algorithm that builds multiple decision trees and combines their outputs to make a final prediction.

    • XGBoost is a boosting algorithm that builds decision trees sequentially, with each tree correcting the errors of the previous one.

    • Random Forest is less prone to overfitting and can handl...

  • Answered by AI
  • Q3. Decision Tree vs Random Forest
  • Ans. 

    Random Forest is an ensemble of Decision Trees that improves accuracy and reduces overfitting.

    • Decision Trees are simple and easy to interpret, but prone to overfitting.

    • Random Forest combines multiple Decision Trees to reduce overfitting and improve accuracy.

    • Random Forest can handle missing values and outliers better than Decision Trees.

    • Decision Trees are faster to train and predict than Random Forest.

    • Random Forest is s...

  • Answered by AI
  • Q4. Bagging and Boosting
  • Q5. Questions related to basic DL.
  • Q6. Full depth questions related to Time Series

Interview Preparation Tips

Interview preparation tips for other job seekers - Round 1- Coding and MCQ test
Round 2- Technical Interview with SAC
Round 3- Technical interview but mostly scenario based question with Project Manager or Director
Round 4- HR round

Skills evaluated in this interview

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 

Easy with 40-50 questions

Round 3 - Group Discussion 

Easy was for 30 minutes. Team vs Individual

Round 4 - Technical 

(2 Questions)

  • Q1. About me , About Resume
  • Q2. Some SQL Questions and projects

Interview Preparation Tips

Interview preparation tips for other job seekers - Go through your basics well for the technical interview
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Jul 2024. There were 4 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. They asked about my experience, told about jd and tried to see if am suitable for this role
Round 2 - Technical 

(1 Question)

  • Q1. Asked about my experience, in details about Google analytics Adobe analytics, sql tableau and python
Round 3 - Group Discussion 

It was with the client. Tested if I am will be good for the role

Round 4 - HR 

(1 Question)

  • Q1. Salary expectations and when I can join
  • Ans. 

    I am open to discussing salary based on the market rate and my experience. I can join within a month.

    • Discussing salary based on market rate and experience

    • Open to negotiation

    • Available to join within a month

  • Answered by AI

Interview Questionnaire 

2 Questions

  • Q1. Resume Summarisation
  • Q2. Common Puzzeles

Interview Preparation Tips

Round: Test
Experience: It was a online test.
Tips: Time given was ample. Accuracy matteredin their test which was conducted by Huntshire.com. Do visit their site for sample questions
Duration: 60 minutes

Round: Group Discussion
Tips: 9 people were in a group. Time for GD was 20 minutes including 5 minutes for summarising.
Duration: 20 minutes

Round: Interview
Experience: Firstly, I summarized and explained the key highlights of my resume in about 5-6 minutes. Then, based on my resume they started asking some HR questions and tried to grill me on those. After that, theyasked me some common puzzles.
Tips: There was a single PI round. The panel consisted of 3 members. The HR and resume based questions that are generally asked in an interview are different for every person. So, it's in the hands of the candidate to turn the tide of questions in his favor by ending the answer to the last question on a positive note. The next  question that the interviewer asks will be based on the last answered question.You will get the common puzzles on googling. Just write " 25 horses puzzle" and " 100 doors puzzle". They also asked me to form numbers from 1to 15 using only four 4's and any mathematical operator.

Skill Tips: ""
College Name: IIT ROORKEE

Interview Questionnaire 

2 Questions

  • Q1. Why should the company choose you ?
  • Ans. 

    I have the necessary skills, experience, and passion to contribute to the company's growth and success.

    • I have a proven track record of achieving targets and delivering results.

    • I possess excellent communication and interpersonal skills, which enable me to work effectively with colleagues and clients.

    • I am a quick learner and can adapt to new technologies and processes easily.

    • I am passionate about my work and always striv...

  • Answered by AI
  • Q2. How are you suitable to the company?
  • Ans. 

    I have the necessary skills, experience, and passion to contribute to the company's growth and success.

    • I have relevant experience in the industry

    • I possess the required skills and knowledge for the job

    • I am a quick learner and can adapt to new situations easily

    • I am passionate about the company's mission and values

    • I am a team player and can work collaboratively with others

  • Answered by AI

Interview Preparation Tips

Round: Test
Experience: Though the paper was easy you have to score very high marks to qualify for the next round.
Duration: 30 minutes
Total Questions: 25

Round: Group Discussion
Experience: The GD round consisted of current affair topics. Since topics like these are very popular and everybody likes to talk about them, it is important that you start the topic so as to have a good hold over the group. If not just try and give a direction to the group with valid points so as to become noticeable. Do conclude the discussion.

Round: Interview
Experience: The interview was basically resume based. They asked me about my projects in the domain of finance and were quite impressed by it. They wanted me to discuss all my academic and internship projects in detail. The interview lasted for 30 minutes approximately.They also inquired briefly about me. They also asked me questions about my technical projects though it didn't have anything to do with the profile offered. Their main aim was to know whether I performed well in the tasks assigned to me even if they did not interest me.
Tips: Try not to mention anything about MBA if any one of you is planning to go for it.

College Name: IIT ROORKEE

I was interviewed in Aug 2016.

Interview Preparation Tips

Round: Test
Experience: The questions were of moderate difficulty level
Duration: 1 hour

Round: Group Discussion
Experience: We were given a case study. Revenues and all sorts of data for each of 5 outlets of a company were given. We were asked to thoroughly study the data and come to a conclusion about which of the outlets should be shut down.

Round: Technical + HR Interview
Experience: Questions were asked from concepts of statistics and econometrics. They asked me about my studies, my internship and my future plans. The interviewers were friendly.

College Name: Jadavpur University, Kolkata

Analyst Interview Questions & Answers

C5i user image Anonymous

posted on 22 Jan 2015

Interview Questionnaire 

3 Questions

  • Q1. Telephonic Interview
  • Q2. Present scenario of Indian cricket team and using stochastic to eliminate the worst and preserve the best
  • Ans. 

    Using stochastic to analyze Indian cricket team's current scenario and eliminate worst while preserving best.

    • Stochastic analysis can help identify the strengths and weaknesses of individual players and the team as a whole

    • It can also help in predicting the outcome of future matches based on past performance

    • Eliminating the worst performers and preserving the best can help improve the team's overall performance

    • For example...

  • Answered by AI
  • Q3. General HR Questions

Interview Preparation Tips

Round: Test
Experience: It was purely a quant based paper. I feel a freshie can crack it better than any other, provided their fresh math skills out of iit preparation.

Round: Interview
Experience: General questions.

Round: Interview
Experience: It was handled in the telephonic interview and the topic is too good.

Round: Interview
Experience: The last round of interview was again a telephonic based, where in hardcore HR questions were tested for your convincing skills which will definitely put you on the winning side.

General Tips: Just case studies grilling over with your friends should give you enough confidence to crack any non core company.

Confidence and body language in the interview. It depends on your resume too, but mostly on the time of the interview that will decide your fate in the selection process.
Skills: Confidence , Body language in interview
College Name: IIT MADRAS
Motivation: They were looking for the position of an analyst, and looking at my profile, I had done some high funda statistical modeling, which I think was the reason i got placed in that company.

Fractal Analytics Interview FAQs

How many rounds are there in Fractal Analytics Analytics Consultant interview?
Fractal Analytics interview process usually has 1 rounds. The most common rounds in the Fractal Analytics interview process are Assignment and Coding Test.
How to prepare for Fractal Analytics Analytics Consultant 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 Fractal Analytics. The most common topics and skills that interviewers at Fractal Analytics expect are Project Management, SQL, Computer science, Python and Stakeholder Management.

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Fractal Analytics Analytics Consultant Interview Process

based on 2 interviews

Interview experience

3
  
Average
View more

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Fractal Analytics Analytics Consultant Salary
based on 149 salaries
₹7 L/yr - ₹24 L/yr
At par with the average Analytics Consultant Salary in India
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Fractal Analytics Analytics Consultant Reviews and Ratings

based on 15 reviews

4.4/5

Rating in categories

4.2

Skill development

4.5

Work-life balance

3.6

Salary

4.6

Job security

4.7

Company culture

3.7

Promotions

4.1

Work satisfaction

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