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Quantiphi Analytics Solutions Private Limited Data Scientist and Machine Learning Engineer Interview Questions, Process, and Tips

Updated 20 Aug 2024

Top Quantiphi Analytics Solutions Private Limited Data Scientist and Machine Learning Engineer Interview Questions and Answers

Quantiphi Analytics Solutions Private Limited Data Scientist and Machine Learning Engineer Interview Experiences

4 interviews found

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
No response

I applied via Approached by Company and was interviewed in Jul 2024. There were 2 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Tell me about yourself and the projects you have worked on so far?
  • Ans. 

    I am a data scientist and machine learning engineer with experience in developing predictive models for various industries.

    • Developed a predictive maintenance model for a manufacturing company to reduce downtime and maintenance costs.

    • Built a recommendation system for an e-commerce platform to personalize product recommendations for users.

    • Worked on a natural language processing project to classify customer reviews for se...

  • Answered by AI
Round 2 - Assignment 

NO RESPONSE AFTER SUBMITTING ASSIGNMENT

Interview Preparation Tips

Interview preparation tips for other job seekers - Please do not apply for this company. They do not care for the interviewees and also the interviewer are very rude and for 8 years of experienced person 5 years experienced person is assigned to take interview who can't even speak proper english
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. Different scores for model evaluations, embedding models
  • Ans. 

    Different scores like accuracy, precision, recall, F1 for evaluating embedding models

    • Common evaluation metrics for embedding models include accuracy, precision, recall, and F1 score

    • Accuracy measures overall correctness of the model's predictions

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

    • Recall measures the proportion of true positive predictions among all actual positiv...

  • Answered by AI
  • Q2. How embedding models work
  • Ans. 

    Embedding models learn to represent words or entities as dense vectors in a continuous vector space.

    • Embedding models map words or entities to high-dimensional vectors where similar words have similar vectors.

    • These models are trained using neural networks to learn the relationships between words based on their context.

    • Popular embedding models include Word2Vec, GloVe, and FastText.

    • Embedding models are commonly used in na...

  • Answered by AI
  • Q3. What is difference between precision and recall
  • Ans. 

    Precision is the ratio of correctly predicted positive observations to the total predicted positive observations, while recall is the ratio of correctly predicted positive observations to the all observations in actual class.

    • Precision focuses on the accuracy of positive predictions, while recall focuses on the proportion of actual positives that were correctly identified.

    • Precision = TP / (TP + FP), Recall = TP / (TP + ...

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. How word2vec works, how gensim works. what is tf-idf
  • Ans. 

    word2vec is a technique to create word embeddings, gensim is a Python library for topic modeling and similarity detection, tf-idf is a method to represent the importance of a word in a document.

    • word2vec is a neural network model that learns word embeddings by predicting the context of a word based on its surrounding words.

    • Gensim is a Python library for topic modeling, document similarity analysis, and other natural lan...

  • Answered by AI

Skills evaluated in this interview

Data Scientist and Machine Learning Engineer Interview Questions Asked at Other Companies

asked in EXL Service
Q1. What are supervised and unsupervised learning models?
asked in Wipro
Q2. What is your favourite algorithm and how have you implemented it?
Q3. how word2vec works, how gensim works. what is tf-idf
Q4. what is difference between precision and recall
Q5. different scores for model evaluations, embedding models
Interview experience
5
Excellent
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 - One-on-one 

(2 Questions)

  • Q1. Gcp/aws expertise, traditional ml, mlops
  • Q2. K8, mlops, deep learning
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Feb 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Q&A on ML and Deep Learning concepts
Round 2 - Technical 

(1 Question)

  • Q1. Exp related to pure Deep Learning questions
Round 3 - HR 

(1 Question)

  • Q1. Why was I leaving my previous company and general HR questions

Quantiphi Analytics Solutions Private Limited interview questions for designations

 Machine Learning Engineer

 (15)

 Machine Learning Engineer Intern

 (6)

 Senior Machine Learning Engineer

 (4)

 Data Scientist

 (2)

 Machine Learning Software Developer

 (1)

 Data Engineer

 (11)

 Senior Data Engineer

 (8)

 Data Science Engineer

 (1)

Interview questions from similar companies

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

Interview Questionnaire 

3 Questions

  • Q1. Tell us about yourself
  • Ans. 

    I am a business analyst with experience in data analysis and project management.

    • I have a degree in business administration

    • I have worked with various industries including healthcare and finance

    • I am skilled in data visualization and reporting

    • I have experience in leading cross-functional teams

    • I am proficient in SQL and Excel

  • Answered by AI
  • Q2. What is your area of interest?
  • Ans. 

    My area of interest is data analysis and visualization.

    • I enjoy working with large datasets and finding insights through data analysis.

    • I have experience using tools such as Excel, Tableau, and Python for data analysis and visualization.

    • I am interested in exploring new data sources and learning new techniques for data analysis.

    • For example, I recently worked on a project analyzing customer behavior data for a retail compa...

  • Answered by AI
  • Q3. What are the other companies you have applied to and how many rounds of the selection process have you cleared there?

Interview Preparation Tips

Round: Resume Shortlist
Experience: The selection process was open for students from all branches. Around 70 students were shortlisted based on their resume. Shortlisting was mainly on CGPA basis and on an average 5 top students were shortlisted from each branch.

Round: Test
Experience: There was a written test conducted for shortlisted candidates. The test was primarily based on the CAT pattern where questions were asked from verbal reasoning, logical reasoning and quantitative aptitude. The test comprised of 2 sections. First section comprised of 3 HR questions:
Why do you want to join this company?
Tell us about yourself.
Describe a situation where you displayed leadership skills.
These 3 questions were to be typed out in 150–200 words each in a total of 20 minutes. Second section started immediately after this. 25 minutes were given to answer 35 multiple choice questions from various sections including 10 coding based questions. The difficulty level was medium.
Duration: 45 minutes
Total Questions: 38

Round: HR Interview
Experience: They asked me to tell them about myself and also some puzzles and core field related questions. Interview was conducted using Skype. It started with basic HR question and then the interviewer asked me about my area of interest. He asked two questions from that field and then asked me to solve one guesstimate case. There was another question on the definition of data analysis.
My area of interest was Operations Research. First he asked me to explain transportation problem and second question was about solving a transshipment problem using Excel solver software. Other candidates were also asked some puzzles and several other HR questions.

College Name: IIT ROORKEE

Interview Questionnaire 

4 Questions

  • Q1. Since you do not have a background in analytics, is there anything you've done that would relate to it?
  • Ans. 

    Yes, I have experience in data analysis and visualization through Excel and Tableau.

    • I have worked on multiple projects where I had to analyze and visualize data using Excel and Tableau.

    • I have created dashboards and reports to present data insights to stakeholders.

    • I have also used statistical analysis to identify trends and patterns in data.

    • I am currently learning Python and SQL to further enhance my data analysis skill

  • Answered by AI
  • Q2. Since you know e-commerce so well, why not go for a start-up?
  • Ans. 

    I am interested in the stability and growth opportunities offered by an established company.

    • I value the stability and resources of an established company

    • I am interested in the opportunity to work with a diverse range of clients and industries

    • I believe my skills and experience are better suited to a larger organization

    • I am open to exploring start-up opportunities in the future

  • Answered by AI
  • Q3. Do you have any plans for higher studies?
  • Ans. 

    Yes, I am planning to pursue a Master's degree in Business Administration.

    • I have researched various MBA programs and have shortlisted a few that align with my career goals.

    • I plan to take the GMAT exam and apply to these programs in the next year.

    • I believe that a higher education degree will equip me with advanced skills and knowledge to excel in my role as a Business Analyst.

  • Answered by AI
  • Q4. Estimate the size of racks of rice in a store in any area
  • Ans. 

    The size of racks of rice in a store can vary depending on the store's location, size, and target market.

    • The size of the store can determine the size of the racks

    • The target market can determine the quantity of rice sold and therefore the size of the racks

    • The location of the store can determine the size of the racks based on the available space

    • The type of rice sold can also determine the size of the racks

    • Observation of ...

  • Answered by AI

Interview Preparation Tips

Round: Test
Experience: The tests are held using the platform of Cocubes. First section has HR questions such as "why Axtria?" and other stuff. I don't think its really necessary and I presume that nobody looks at it. The sections 2, 3 and 4 are fairly easy. But since the test is easy, you should also keep this in mind that the cutoff might be high. The coding section had basic question of C, C++ and Java. Don't worry even if you don't know java. All in all, the questions are very "do-able" and one should easily crack them.
Tips: I'd advice aspirants to go through the concepts of OOPs; just a brief glance at it, not necessarily mastering it. There's no negative marking, so try attempting all the questions. Also the test is of 2 hours with 60 minutes for sections 2, 3 and 4.

Round: Group Discussion
Experience: The GD round is quite simple. A group is formed of 8-10 people. Everyone gets a chance to speak, unless it's your bad day with a cartoon character in the same group with you.
One person didn't really want, but was forced to appear for the selection process. So from the very beginning, he was trying for a "suicide". So there was a bit of negation in arguments which might have killed us all. But the interviewers really want everyone to put up their points and gave equal opportunities.
Before proceeding with your points, each of us had to introduce ourselves and then put up our points. There was a lot of desperation in my GD, so there were moments when people were actually arguing. So one really had to grab their chance when speaking.
The other groups had topics like, "Social media in daily life", "Pros and cons of using Cloud", etc. Their GD was very methodical, everyone speaking turn by turn and in the end anyone was asked to conclude the session.
In the end, about 2 people are eliminated, so in order to fail, you really have to suck at public speaking. Otherwise, take it for granted that you're going through for the next round.
Tips: I'd suggest people to have a go at number 3 or 4, once you've gauged the nature of the discussion. Try to put up all your points very briefly, giving an example or two. Don't negate other people's arguments and agree with people who's thoughts are in line with yours. Even if you want to negate others, do it very subtly. Try to be involved as much as possible. Be the best listener, moderate the GD when you're not active and when you're speaking, be very confident.
Duration: 10-12 minutes

Round: Guesstimate Interview
Experience: Since I did not have any background in analytics, the interviewer had to ask me other questions. At first she asked me about statistics, which I was not really confident about. At this point, I was almost certain to crash out. But luckily, the next question she asked me was the above guesstimate. This being one of my stronger skills, was quite OK for me, and I handled this question well enough. The interviewer was quite impressed with my approach and was smiling as if advertising for Colgate, at the end of the interview. This instilled some confidence in me, that I was going through, at least for this round. But this was, as one would say, lady luck, saving me. Other candidates, who had a background in analytics, were asked only about their previous internships (not too technical).
Tips: If you have a background in analytics, then just go through all your projects. If you do not have any such skills, then brush up your guesstimates. Other person who was like me, was asked to estimate the time after which a boiler needed maintenance (he was from Mechanical). Another guy was asked how would one determine that a person is fraud or not; if he withdrew about 10K in first three months and then 50K in the 4th month, from his credit card. So case-study and guesstimates are a must if you don't have analytics on your CV.

Round: HR Interview
Experience: There was a panel of 3 interviewers. Other candidates (analytics guys) were simply asked to convince them that they would work for the company for the foresee-able future. I, on the other hand, was asked to convince them, why I am the guy for Axtria. I had to defend myself, for having internships in different backgrounds and how would I be suitable for analytics. Then they asked me that since I had worked in an logistics company, why did not I go for my own start-up. Again I said a few things, which was basically running around, why do I want to work for Axtria. Luckily, I managed to convince them in the end. But still I did not have that good a feeling about this round. When asked about higher studies, I told them that I had plans but not in the near future.
Tips: This one was pretty dependent on how you'd defend your CV. But otherwise, it should be a very simple experience for analytics guys. Axtria goes for elimination rather than selection in its process. So unless you really suck at giving interviews, you can give yourself a fair chance of getting selected. Also, since they have a 3 month long training period, it is not really necessary that you have analytics on you CV. But for a guy like me, you have to be very convincing about yourself and make them believe that Axtria and you are a match made in heaven.

General Tips: If you're confident with conversing in English and are convincing enough, it shouldn't be really difficult. Also, the conversion rate is about 0.5 i.e. half of the shortlisted people are going to get selected. So there's no need to be nervous.
Skills: Data Analysis, Probability And Statistics, Guesstimation Cases
College Name: IIT Kharagpur
Funny Moments: After selection was complete, a girl asked: Sir, do we have to work on Sundays?

Interview Preparation Tips

Round: Resume Shortlist
Experience: If your have CGPA >7 and AIEEE rank is good then you will be shortlisted .

Round: Test
Experience: Test was similar to CAT there were 3 sections qunat, logical reasoning and verbal ...question were easy ...test was hosted at cocubes .
Tips: Don't try to open other tab during test because that will be recorded.
Duration: don't remember minute

Round: HR Interview
Experience: Interviewer was very straight forward, he ask many question and puzzles. One puzzle he asked was ... You have 2 rats and 4 glass. ..in each glass you have some liquid which is taste less, smell less cl,colorless ...but one glass contains poision... We are allowed to use rats only once and at the same time ...identity the poisened glass.
He also asked candel and bridge puzzle and sone question about me like why do you want to join our conpany, tell m le something about yourself etc

Round: Technical Interview
Experience: Interviewer asked 3 questions
1) you have 3 glasses each contain 1 balls of different color .. You have to identify which galss has which color ball .
I answered several time and he make changes every time. ..
1 coding question and 1sql query. I answered all the questions correctly

College Name: NIT Delhi

Quantiphi Analytics Solutions Private Limited Interview FAQs

How many rounds are there in Quantiphi Analytics Solutions Private Limited Data Scientist and Machine Learning Engineer interview?
Quantiphi Analytics Solutions Private Limited interview process usually has 2-3 rounds. The most common rounds in the Quantiphi Analytics Solutions Private Limited interview process are Technical, One-on-one Round and Resume Shortlist.
What are the top questions asked in Quantiphi Analytics Solutions Private Limited Data Scientist and Machine Learning Engineer interview?

Some of the top questions asked at the Quantiphi Analytics Solutions Private Limited Data Scientist and Machine Learning Engineer interview -

  1. how word2vec works, how gensim works. what is tf-...read more
  2. what is difference between precision and rec...read more
  3. different scores for model evaluations, embedding mod...read more

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Quantiphi Analytics Solutions Private Limited Data Scientist and Machine Learning Engineer Interview Process

based on 4 interviews

Interview experience

3.5
  
Good
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30% less than the average Data Scientist and Machine Learning Engineer Salary in India
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Quantiphi Analytics Solutions Private Limited Data Scientist and Machine Learning Engineer Reviews and Ratings

based on 4 reviews

3.7/5

Rating in categories

4.2

Skill development

3.9

Work-life balance

3.9

Salary

3.3

Job security

3.9

Company culture

3.4

Promotions

3.7

Work satisfaction

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