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Acuity Knowledge Partners Data Scientist Interview Questions and Answers

Updated 11 Sep 2024

Acuity Knowledge Partners Data Scientist Interview Experiences

2 interviews found

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

I applied via Company Website and was interviewed in Aug 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain the RAG pipeline?
  • Ans. 

    RAG pipeline is a data processing pipeline used in data science to categorize data into Red, Amber, and Green based on certain criteria.

    • RAG stands for Red, Amber, Green which are used to categorize data based on certain criteria

    • Red category typically represents data that needs immediate attention or action

    • Amber category represents data that requires monitoring or further investigation

    • Green category represents data that...

  • Answered by AI
  • Q2. Explain Confusion metrics
  • Ans. 

    Confusion metrics are used to evaluate the performance of a classification model by comparing predicted values with actual values.

    • Confusion matrix is a table that describes the performance of a classification model.

    • It consists of four different metrics: True Positive, True Negative, False Positive, and False Negative.

    • These metrics are used to calculate other evaluation metrics like accuracy, precision, recall, and F1 s...

  • Answered by AI

Skills evaluated in this interview

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

I applied via LinkedIn and was interviewed before Mar 2022. 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 Resume tips
Round 2 - Technical 

(3 Questions)

  • Q1. Questions related to python basics.
  • Q2. Basic calculus to test math skills.
  • Q3. Machine learning metrics.
Round 3 - HR 

(3 Questions)

  • Q1. Policies, behavioral round.
  • Q2. Work culture and the selection process.
  • Q3. Discussion about previous employers and educational background.

Interview Preparation Tips

Interview preparation tips for other job seekers - keep it simple and be confident. it's good to know the reasons behind your data science projects.

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Interview questions from similar companies

Interview Questionnaire 

1 Question

  • Q1. What friends think of you?
  • Ans. 

    My friends think of me as reliable, supportive, and always up for a good time.

    • Reliable - always there when they need help or support

    • Supportive - willing to listen and offer advice

    • Fun-loving - enjoys socializing and trying new things

  • Answered by AI

Interview Preparation Tips

Round: Resume Shortlist
Experience: After Resume Shortlist we had an aptitute round.
Tips: Answer according to your own judgement. Dont try to be too precise.

Round: HR Interview
Experience: I said they think I am a workaholic as I prefer to complete my work before chilling with them.

College Name: NIT Durgapur

Interview Preparation Tips

Round: HR Interview
Experience: Interview at 11 pm. Stressed environment, close to stress interview.
SELECTION PROCEDURE:
1.Online Test
2. GD
3. PI(HR)
GD TOPICS :
Topic 1 : How can education system benefit from interdisciplinary methods.
Topic 2 : Interconnected problems in the field of movie making.
INTERVIEW EXPERIENCE:
So you can speak German? Describe MS Dhoni in german. They opened Google Translate to counter check the words they wanted to be translated in both Deutsch and Spanish. Your profile speaks of an inclination towards software skills, why do you want to join an analytics company? Justify your action in two reasons as to why are you sitting here interviewing for the post of a data scientist rather than apply for a software engineer when this CV speaks highly of computer science? What is Finite Element Method? Explain. How relevant is your work in Computer Vision? Breakdown the tagline of Audi and translate accordingly. What is "Technik für Mobel" ? What are your current projects? Answer : Microsoft Xbox Kinect, Gesture Recognition. Counter question : But at Musimga you'd be doing far simpler stuff.? Counter suggestion : Why don't you go for MS?


Tips: Keep your cool during counter questions. Prepare your profile and CV well. Rest all is your hard work and groomed personal talents and acquired skills you learnt over the internet.

Skills: Ability To Cope Up With Stress, Spanish, German, Finite Element Modeling - FEM, Foreign Language
College Name: NIT Raipur
Funny Moments: Another HR enters in the midst of my interview and asks with bewildered amazement : What language is he speaking?
The other HR, "German".

I applied via Campus Placement

Interview Preparation Tips

Round: Resume Shortlist
Experience: Interview was purely technical. Having technical knowledge in analytics and good command on matrix transformations probability and statistics helps.
Tips: Before interview look into basic concepts of analytics such as regression, classification, clustering, etc...

Skills: Probability And Statistics, Ability To Analyse
Duration: 2
College Name: IIT Madras
Motivation: As it is a start up based out of Boston I think I will be a good opportunity to network and also learn about how a company handles data.
Funny Moments: Hr was a North Indian and I am South Indian. There is slight problem for him in pronouncing few words. I had to ask him to repeat the question twice before I answered. It turns out to be a very simple question but we Both struggled
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

General aptitude basics

Round 2 - Coding Test 

Mcq and basic ml model building

Interview Preparation Tips

Interview preparation tips for other job seekers - Stay calm and enjoy the process
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

I applied via Approached by Company

Round 1 - Technical 

(3 Questions)

  • Q1. Explain Transformers how different from previous RNN, LSTM etc.
  • Ans. 

    Transformers are a type of neural network architecture that utilizes self-attention mechanisms to process sequential data.

    • Transformers use self-attention mechanisms to weigh the importance of different input elements, allowing for parallel processing of sequences.

    • Unlike RNNs and LSTMs, Transformers do not rely on sequential processing, making them more efficient for long-range dependencies.

    • Transformers have been shown ...

  • Answered by AI
  • Q2. What are different types of Attention?
  • Ans. 

    Different types of Attention include self-attention, global attention, and local attention.

    • Self-attention focuses on relationships within the input sequence itself.

    • Global attention considers the entire input sequence when making predictions.

    • Local attention only attends to a subset of the input sequence at a time.

    • Examples include Transformer's self-attention mechanism, Bahdanau attention, and Luong attention.

  • Answered by AI
  • Q3. Difference between GPT and BERT model
  • Ans. 

    GPT is a generative model while BERT is a transformer model for natural language processing.

    • GPT is a generative model that predicts the next word in a sentence based on previous words.

    • BERT is a transformer model that considers the context of a word by looking at the entire sentence.

    • GPT is unidirectional, while BERT is bidirectional.

    • GPT is better for text generation tasks, while BERT is better for understanding the cont

  • Answered by AI
Round 2 - HR 

(1 Question)

  • Q1. Difference between Data scientist, ML and AI
  • Ans. 

    Data scientists analyze data to gain insights, machine learning (ML) involves algorithms that improve automatically through experience, and artificial intelligence (AI) refers to machines mimicking human cognitive functions.

    • Data scientists analyze large amounts of data to uncover patterns and insights.

    • Machine learning involves developing algorithms that improve automatically through experience.

    • Artificial intelligence r...

  • Answered by AI

Skills evaluated in this interview

I applied via Naukri.com and was interviewed in Apr 2022. There were 3 interview rounds.

Round 1 - Aptitude Test 
Round 2 - Coding Test 
Round 3 - Aptitude Test 

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well on conditional probability , python basics, and your resume projects

I applied via Naukri.com and was interviewed in Sep 2021. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. There is online test is totally on SQL please prepare for SQL. There are 3 rounds in which first online test based on sql then 2nd is technical round and 3rd Manager round. Technical round on sql and machi...

Interview Preparation Tips

Interview preparation tips for other job seekers - Mainly Please prepare for SQL, Machine Learning and case study.

I applied via Referral and was interviewed in May 2021. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Total 3 rounds. 1st round is purely on programming ability on Python and SQL. Simple to algorithmic level. Binary search, recursive querying. 2nd round was on understanding the candidate and his/her work e...

Interview Preparation Tips

Interview preparation tips for other job seekers - This is for two types of candidates. If you're from engineering background(btech/be) prepare well for programming round. The rest is taken care with minimal knowledge. If you're not from engineering background don't waste your time and effort in attending the interviews. They will finally reject you even though you are qualified in all the rounds and will select an engineering guy.
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Acuity Knowledge Partners Interview FAQs

How many rounds are there in Acuity Knowledge Partners Data Scientist interview?
Acuity Knowledge Partners interview process usually has 2 rounds. The most common rounds in the Acuity Knowledge Partners interview process are Resume Shortlist, Technical and HR.
How to prepare for Acuity Knowledge Partners Data Scientist 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 Acuity Knowledge Partners. The most common topics and skills that interviewers at Acuity Knowledge Partners expect are Data Science, Machine Learning, Python, AWS and Artificial Intelligence.
What are the top questions asked in Acuity Knowledge Partners Data Scientist interview?

Some of the top questions asked at the Acuity Knowledge Partners Data Scientist interview -

  1. Explain the RAG pipeli...read more
  2. Explain Confusion metr...read more
  3. Basic calculus to test math skil...read more

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Acuity Knowledge Partners Data Scientist Interview Process

based on 2 interviews

Interview experience

4
  
Good
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Acuity Knowledge Partners Data Scientist Salary
based on 8 salaries
₹12.6 L/yr - ₹49.3 L/yr
111% more than the average Data Scientist Salary in India
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4.3/5

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