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Acuity Knowledge Partners Data Scientist Interview Questions and Answers for Experienced

Updated 11 Sep 2024

Acuity Knowledge Partners Data Scientist Interview Experiences for Experienced

1 interview 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

Data Scientist Jobs at Acuity Knowledge Partners

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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

I applied via Job Portal and was interviewed in Jan 2021. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Basic Hypothesis Understanding !
  • Q2. Apache Spark and Data Frames

Interview Preparation Tips

Interview preparation tips for other job seekers - Ask clearly for job role they said data scientist but currently I am doing MLOPS

I applied via Recruitment Consultant and was interviewed in Jun 2021. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. 1. Describe one of your projects in detail. 2. Explain Random Forest and other ML models 3. Statistics
  • Ans. 

    Developed a predictive model for customer churn using Random Forest algorithm.

    • Used Python and scikit-learn library for model development

    • Performed data cleaning, feature engineering, and exploratory data analysis

    • Tuned hyperparameters using GridSearchCV and evaluated model performance using cross-validation

    • Random Forest is an ensemble learning method that builds multiple decision trees and combines their predictions

    • Other...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare your projects well and questions around that

Skills evaluated in this interview

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

I applied via Naukri.com and was interviewed in Oct 2022. There were 5 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 tips
Round 2 - Aptitude Test 

Basic statistics questions and coding questions on modeling

Round 3 - One-on-one 

(1 Question)

  • Q1. Discussion was mainly on the project I have worked on
Round 4 - One-on-one 

(1 Question)

  • Q1. Project discussion 2 case studies Questions on sensitivity analysis Precision recall with non binary data
Round 5 - HR 

(1 Question)

  • Q1. How would you solve conflicts between two people in your team? Why are you leaving your company?
  • Ans. 

    To solve conflicts between two people in my team, I would encourage open communication, facilitate a discussion, and find a mutually agreeable solution.

    • Encourage open and honest communication between the two individuals involved

    • Facilitate a discussion where both parties can express their concerns and perspectives

    • Identify common ground and areas of agreement

    • Encourage empathy and understanding towards each other's viewpo...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident on the skills that your are showing in your CV. Be truthful if you don't know anything and don't bush around. If you are okay working for more than 14hrs and also in the weekends then please go ahead :)

I applied via Naukri.com and was interviewed before Aug 2021. There were 4 interview rounds.

Round 1 - Coding Test 

Machine learning MCQ questions. 2 model-building questions.

Round 2 - Technical 

(1 Question)

  • Q1. Basic statistics, concertation of any ML algo based on the project on resume or previous works,
Round 3 - Technical 

(1 Question)

  • Q1. Interview with data science manager. Mostly focuses on projects on your resume.
Round 4 - HR 

(1 Question)

  • Q1. Salary related discussion and basic HR questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - Go through the resume in detail and focus on explaining the projects and algorithms worked on.

I applied via Company Website and was interviewed in Feb 2022. There were 2 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 tips
Round 2 - Aptitude Test 

There were 13 questions
2 was coding and other multiple choice questions
one coding question was wine quality test

Interview Preparation Tips

Interview preparation tips for other job seekers - Advanced ML questions will be there

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.

Acuity Knowledge Partners Interview FAQs

How many rounds are there in Acuity Knowledge Partners Data Scientist interview for experienced candidates?
Acuity Knowledge Partners interview process for experienced candidates usually has 1 rounds. The most common rounds in the Acuity Knowledge Partners interview process for experienced candidates are One-on-one Round.
How to prepare for Acuity Knowledge Partners Data Scientist interview for experienced candidates?
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 for experienced candidates?

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

  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 for Experienced

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