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Nielsen Data Scientist Interview Questions and Answers for Experienced
Nielsen Data Scientist Interview Experiences for Experienced
2 interviews found
Selected
I applied via Referral and was interviewed in May 2024. There were 3 interview rounds.
I was asked to write SQL queries for 3rd highest salary of the employee, some name filtering, group by tasks.
Python code to find the index of the maximum number without using numpy.
(1 Question)
- Q1. Explain the Project undertaken during the research and follow-up questions
(1 Question)
- Q1. Write pandas query to separate the names as first and last name from the full name. Drop the duplicate columns and also the missing values. Write output for the Python code. Write SQL query to retrieve t...
- Ans.
Answering questions related to data science concepts and techniques.
Recall is the ratio of correctly predicted positive observations to the total actual positives. Precision is the ratio of correctly predicted positive observations to the total predicted positives.
To reduce variance in an ensemble model, techniques like bagging, boosting, and stacking can be used. Bagging involves training multiple models on different ...
Interview Preparation Tips
- Python
- Pandas
- SQL
- Machine Learning
Skills evaluated in this interview
Selected
I applied via Naukri.com and was interviewed in Oct 2023. There were 4 interview rounds.
Sql, python, Statistics mcq, Aptitude test. These were medium level questions.
(3 Questions)
- Q1. SQL and python, time complexity
- Q2. Make 2 lists a=[1,2,3,4] b=[9,8,5,5,2,3,3,4,1,1,10,9,2,3,4,10,10,9,7,7,8] Write a program to remove duplicate of b and keep only those elements of b which are not present in a, and the final list should ...
- Ans.
Remove duplicates from list b, keep elements not in list a, and sort in ascending order.
Create a set from list b to remove duplicates
Use list comprehension to keep elements not in list a
Sort the final list in ascending order
- Q3. SQL question Remove duplicate from a table tab1
- Ans.
Use the DISTINCT keyword in SQL to remove duplicates from a table.
Use the SELECT DISTINCT statement to retrieve unique rows from the table.
Identify the columns that should be used to determine uniqueness.
Example: SELECT DISTINCT column1, column2 FROM tab1;
Given 2 case studies on data science and asked different possibilities to improve the models.
How to work with imbalance dataset.
How to remove null values, what is features engineering.
What is PCA
What is the working of XGBOOST
(1 Question)
- Q1. What was last project, tell me in detail. There were different technical questions related to my project
Interview Preparation Tips
All the metrics of evaluating a model.
Linear regression, logestic regression, random forest, decission tree, adaboost, Gradient boosting, XGb in detail.
Recall, precision roc_curve. Auc, f1 score, mse,mae, r2, adjusted r2 score.
Is it possible that r2 score appears in minus
Skills evaluated in this interview
Interview questions from similar companies
Sayantan Ghosh
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
Interview Preparation Tips
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
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 and was interviewed in Oct 2023. There were 3 interview rounds.
2hrs - sections include aptitude, machine learning, deep learning and two easy python coding questions
(4 Questions)
- Q1. Resume scrutiny with projects and internships
- Q2. How to measure 45 mins duration using two identical wires
- Q3. Partition a round cake into eight equal parts within three cuts
- Q4. 10 coins puzzle (5 heads up and 5 tails up)
Interview Preparation Tips
DSA and ML, AI, Coding question
(1 Question)
- Q1. Case study which was easy
(1 Question)
- Q1. In depth questions on ML
Data Scientist Interview Questions & Answers
Acuity Knowledge Partners
Anonymous
posted on 30 Mar 2023
Selected
I applied via LinkedIn and was interviewed before Mar 2022. There were 3 interview rounds.
(3 Questions)
- Q1. Questions related to python basics.
- Q2. Basic calculus to test math skills.
- Q3. Machine learning metrics.
(3 Questions)
- Q1. Policies, behavioral round.
- Q2. Work culture and the selection process.
- Q3. Discussion about previous employers and educational background.
Interview Preparation Tips
Given 6 coding qns related to java and html and also ML.
(1 Question)
- Q1. Explain abt projects and qns related to ML.
- Ans.
Projects in machine learning involve developing algorithms to analyze and interpret data for various applications.
Developing a recommendation system for an e-commerce website
Predicting customer churn for a telecommunications company
Classifying images in a computer vision project
Anomaly detection in network traffic for cybersecurity
Natural language processing for sentiment analysis
(1 Question)
- Q1. Basic hr qns why straive?
Skills evaluated in this interview
Data Scientist Interview Questions & Answers
Acuity Knowledge Partners
Anonymous
posted on 11 Sep 2024
I applied via Company Website and was interviewed in Aug 2024. There was 1 interview round.
(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...
- 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...
Skills evaluated in this interview
Selected
I applied via Approached by Company and was interviewed before Mar 2023. There was 1 interview round.
(2 Questions)
- Q1. Past projects of machine learning
- Ans.
Developed a predictive model for customer churn using machine learning algorithms.
Used Python and scikit-learn library for data preprocessing and model building
Performed feature engineering to improve model performance
Evaluated model performance using metrics like accuracy, precision, and recall
- Q2. Distributed computing and spark questions
Skills evaluated in this interview
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Nielsen Data Scientist Interview Process for Experienced
based on 2 interviews
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