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Accenture Data Science Analyst Interview Questions, Process, and Tips
Top Accenture Data Science Analyst Interview Questions and Answers
- Q1. How to analyse a problem : Suppose a pizza chain comes to you and tells you that certain of their outlets are performing poorly aftrr the pandemic. Where do you start wit ...read more
- Q2. What is PII, give some examples
- Q3. What is normalization and standardization
Accenture Data Science Analyst Interview Experiences
11 interviews found
lokesh kumar
Selected
I applied via Campus Placement and was interviewed before May 2023. There were 2 interview rounds.
(1 Question)
- Q1. Experience with python, sql, powerbi
- Ans.
Proficient in Python, SQL, and PowerBI for data analysis and visualization.
Extensive experience using Python for data manipulation and analysis
Strong SQL skills for querying databases and extracting relevant information
Proficient in creating interactive dashboards and reports using PowerBI
Ability to integrate Python scripts with PowerBI for advanced analytics
Experience in data visualization techniques to communicate in
(3 Questions)
- Q1. SQL join, table, view concepts, Python basics for EDA, Missing value treatment
- Q2. Data transformation
- Q3. Write code to find anagram
- Ans.
Code to find anagrams in an array of strings
Iterate through the array of strings
Sort each string alphabetically
Check if the sorted strings are equal to identify anagrams
Skills evaluated in this interview
Anonymous
Selected
I applied via Campus Placement and was interviewed before May 2023. There was 1 interview round.
(2 Questions)
- Q1. Python list addition
- Q2. Simple sql query questions
Selected
I applied via Naukri.com and was interviewed before Apr 2023. There were 2 interview rounds.
Asked some puzzles and guesstimate questions
(1 Question)
- Q1. Asked questions related to past projects
What people are saying about Accenture
Interview Questionnaire
5 Questions
- Q1. What is precision and recall?
- Ans.
Precision and recall are two metrics used to evaluate the performance of a classification model.
Precision measures the proportion of true positives among all positive predictions.
Recall measures the proportion of true positives among all actual positives.
Both metrics are important in different scenarios, depending on the cost of false positives and false negatives.
For example, in a medical diagnosis scenario, recall ma...
- Q2. What is normalization and standardization
- Ans.
Normalization and standardization are techniques used to transform data into a common scale.
Normalization scales the data between 0 and 1, making it easier to compare different features.
Standardization transforms the data to have a mean of 0 and standard deviation of 1, making it easier to compare different samples.
Normalization is useful when the scale of the features varies widely, while standardization is useful whe...
- Q3. What is variance and standard deviation
- Ans.
Variance and standard deviation are measures of spread or dispersion of a dataset.
Variance is the average of the squared differences from the mean.
Standard deviation is the square root of variance.
They are used to understand the distribution of data and to compare different datasets.
Higher variance or standard deviation indicates more spread or variability in the data.
Lower variance or standard deviation indicates less
- Q4. Tell me about your project
- Q5. SQL questions
Interview Preparation Tips
Skills evaluated in this interview
Accenture interview questions for designations
I applied via Referral and was interviewed in Aug 2021. There was 1 interview round.
(1 Question)
- Q1. 1. Tell me about yourself. 2. Detailed discussion on M.Tech. Project. 3. Brief discussion over current company role and project. 4. You are directly communicating to customer and he/she need change in last...
Interview Preparation Tips
- Deep Learning
- Machine Learning
- Python
There are endless questions you can't predict what will be asked and what will not but the upper suggested questions will always be there.
All the very 👍
Get interview-ready with Top Accenture Interview Questions
Selected
I applied via Approached by Company and was interviewed before Nov 2022. There were 3 interview rounds.
Data Science and Machine Learning MCQS
(1 Question)
- Q1. Tell me about this project mentioned in your resume
Interview Preparation Tips
Data Science Analyst Jobs at Accenture
I applied via Referral and was interviewed before Jul 2021. There were 2 interview rounds.
(1 Question)
- Q1. About SQL questions, guesstimate and a puzzle
(1 Question)
- Q1. Pharma analytics knowledge, my resume, past experience
Interview Preparation Tips
Selected
I applied via Referral and was interviewed before Dec 2021. There were 4 interview rounds.
(1 Question)
- Q1. 20 questions on statistics and 20 questions on ML. Level : East medium Test is online and video proctored.
(2 Questions)
- Q1. Questions on ML . Based on my experienec and what I feel I am comfortable with 1. XGBoost vs Decision Trees and related questions 2. Logistic regression and related questions. Multi class classification u...
- Q2. How to analyse a problem : Suppose a pizza chain comes to you and tells you that certain of their outlets are performing poorly aftrr the pandemic. Where do you start with the problem and how do you approa...
- Ans.
To analyze the problem of poor performance of certain pizza outlets after the pandemic, start by identifying potential factors and gathering data.
Identify potential factors such as changes in consumer behavior, supply chain disruptions, or local regulations
Gather data on sales, customer feedback, employee turnover, and operational costs
Analyze the data to identify patterns and correlations
Develop hypotheses and test th...
(1 Question)
- Q1. Managerial Round. Past experinence ( expect grilling on that) What I have worked on. My profieciency in SQL, Python, R. Also Excel , Powerpoint etc. ( Being honest helps. I told them directly that I can wo...
Interview Preparation Tips
- Statistics
- Machine Learning
- Python
- R
- Advanced Excel
- Powerpoint
- SQL
Selected
I applied via Approached by Company and was interviewed before Mar 2022. There were 3 interview rounds.
(1 Question)
- Q1. Normal CV related & scenario based questions were asked.
(1 Question)
- Q1. Senior Manager round. Again, CV based & basic skill based questions.
Interview Preparation Tips
I applied via Naukri.com and was interviewed before Aug 2021. There were 3 interview rounds.
(4 Questions)
- Q1. Interviewer explained about the project.
- Q2. Asked me questions related to SQL queries
- Q3. What is PII, give some examples
- Ans.
PII stands for Personally Identifiable Information. It refers to any data that can be used to identify an individual.
Examples of PII include name, address, phone number, email address, social security number, driver's license number, passport number, and date of birth.
PII can also include biometric data such as fingerprints or facial recognition data.
It is important to protect PII to prevent identity theft and other fo
- Q4. Proficiency with python
- Ans.
Proficient in Python with experience in data analysis and visualization.
Experience in using Python libraries such as Pandas, NumPy, and Matplotlib.
Ability to write efficient and optimized code for data manipulation and analysis.
Familiarity with machine learning algorithms and their implementation in Python.
Experience in web scraping and data extraction using Python.
Proficient in using Jupyter Notebook for data analysis
(2 Questions)
- Q1. Discussion with Senior manager Questions on personality
- Q2. Location restrictions
(1 Question)
- Q1. Salary and location discussions
Interview Preparation Tips
- SQL
- Secondary Research
They will try to bring you on lower designation.
Also check with MAL score with them
MAL - months at level
If you are lateral hire, they can and should provide you some score instead of 0.
MAL score becomes a blocker in your promotion
Skills evaluated in this interview
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Accenture Data Science Analyst Interview Process
based on 8 interviews
3 Interview rounds
- Resume Shortlist Round
- Technical Round - 1
- Technical Round - 2
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Accenture Data Science Analyst Reviews and Ratings
based on 55 reviews
Rating in categories
Bangalore / Bengaluru
1-3 Yrs
₹ 8.77-19 LPA
Bangalore / Bengaluru
1-3 Yrs
₹ 8.77-19 LPA
|
Application Development Analyst
39k
salaries
|  ₹3 L/yr - ₹12 L/yr |
|
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27.4k
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| ₹6.9 L/yr - ₹20.2 L/yr |
|
Team Lead
24.6k
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| ₹7.1 L/yr - ₹26 L/yr |
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| ₹5.5 L/yr - ₹21.3 L/yr |
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