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Genpact Data Scientist Interview Questions, Process, and Tips
Top Genpact Data Scientist Interview Questions and Answers
- Q1. How to extract top discussed topics on twitter ?
- Q2. Which models you use for sentiment analysis or summarisation
- Q3. Scree share coding - manipulate dataframe using pandas
Genpact Data Scientist Interview Experiences
11 interviews found
Anonymous
I applied via Naukri.com and was interviewed in Jul 2024. There were 2 interview rounds.
(3 Questions)
- Q1. Tell me about yourself?
- Ans.
I am a data scientist with a background in statistics and machine learning, passionate about solving complex problems using data-driven approaches.
Background in statistics and machine learning
Experience in solving complex problems using data-driven approaches
Passionate about leveraging data to drive insights and decision-making
- Q2. Describe in detail about one of my main project.
- Ans.
Developed a predictive model for customer churn in a telecom company.
Collected and cleaned customer data including usage patterns and demographics.
Used machine learning algorithms such as logistic regression and random forest to build the model.
Evaluated model performance using metrics like accuracy, precision, and recall.
Implemented the model into the company's CRM system for real-time predictions.
- Q3. Few questions related to my projects.
(1 Question)
- Q1. Questions on Basics python(Since i am fresher)
Interview Preparation Tips
Selected
I applied via Naukri.com and was interviewed in May 2024. There was 1 interview round.
(4 Questions)
- Q1. Describe Projects in depth ?
- Ans. What algos used ? Why ? Leads you got ? Whole data prep and deployment process ? Model Performance Tracking.
- Q2. Scree share coding - manipulate dataframe using pandas
- Ans.
Using pandas to manipulate dataframes through screen sharing coding.
Use pandas library in Python for data manipulation
Share screen to demonstrate coding techniques
Use functions like merge, groupby, and apply for data manipulation
- Q3. How to extract top discussed topics on twitter ?
- Ans.
Use Twitter API to extract tweets, perform text analysis to identify top discussed topics.
Access Twitter API to retrieve tweets
Perform text analysis using NLP techniques like TF-IDF or LDA
Identify keywords or hashtags with highest frequency to determine top discussed topics
- Q4. Everything about TN, TP, imbalanced dataset, senstivity, auc_roc? Difference between bagging and boosting.
Interview Preparation Tips
Skills evaluated in this interview
(2 Questions)
- Q1. ML related questions and previous company's project related
- Q2. What is Regression?Prepare basci pandas related questions
What people are saying about Genpact
(2 Questions)
- Q1. Explain NLP project life cycle for sentiment analysis in detail
- Ans.
NLP project life cycle for sentiment analysis involves data collection, preprocessing, model training, evaluation, and deployment.
Data collection: Gather text data from various sources like social media, reviews, or surveys.
Data preprocessing: Clean and preprocess the text data by removing stopwords, punctuation, and special characters.
Model training: Use machine learning or deep learning algorithms to train a sentimen...
- Q2. Which models you use for sentiment analysis or summarisation
- Ans.
I use models like LSTM, BERT, and Transformer for sentiment analysis and summarization.
LSTM (Long Short-Term Memory) for sequence prediction tasks like sentiment analysis
BERT (Bidirectional Encoder Representations from Transformers) for contextual word embeddings
Transformer for attention-based sequence-to-sequence tasks like summarization
Genpact interview questions for designations
(1 Question)
- Q1. Feature engineering
(1 Question)
- Q1. Gen AI ,LLM Deployment
Get interview-ready with Top Genpact Interview Questions
Nazrul Miya
(1 Question)
- Q1. Explain p value and its difference with probability
- Ans.
P value is a measure of the strength of evidence against the null hypothesis in a statistical test, while probability is the likelihood of an event occurring.
P value is used in hypothesis testing to determine the significance of results
Probability is a measure of the likelihood of an event occurring
P value ranges from 0 to 1, with lower values indicating stronger evidence against the null hypothesis
Probability also ran...
Data Scientist Jobs at Genpact
Selected
I applied via Referral and was interviewed in Sep 2023. There were 5 interview rounds.
General maths n reasoning ques
1 DSA medium level question were asked
Any random topic that we have to speak upon
(2 Questions)
- Q1. Discussed everything written in the resume
- Q2. Skillsets written in resume
Interview Preparation Tips
I applied via Campus Placement and was interviewed in Apr 2023. There were 3 interview rounds.
Java script, angular js, node questions
(2 Questions)
- Q1. Asked about Company and why do you choose genpact?
- Q2. Questions on my projects and college experience
Interview Preparation Tips
- SQL
- DBMS
- Operating Systems
Selected
I applied via Approached by Company and was interviewed before Feb 2023. There was 1 interview round.
(3 Questions)
- Q1. What is hypothesis testing
- Ans.
Hypothesis testing is a statistical method used to make inferences about a population based on sample data.
It involves formulating a hypothesis about a population parameter, collecting data, and using statistical tests to determine if the data supports or rejects the hypothesis.
There are two types of hypotheses: null hypothesis (H0) and alternative hypothesis (H1).
Common statistical tests for hypothesis testing include...
- Q2. What is null hypothesis
- Ans.
Null hypothesis is a statement that there is no significant difference or relationship between variables being studied.
Null hypothesis is typically denoted as H0 in statistical hypothesis testing.
It is the default assumption that there is no effect or relationship.
The alternative hypothesis (Ha) is the opposite of the null hypothesis.
For example, in a study testing a new drug, the null hypothesis would be that the drug...
- Q3. What is supervised and unsupervised learning
- Ans.
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data.
Supervised learning requires labeled data for training
Unsupervised learning does not require labeled data
Examples of supervised learning include classification and regression
Examples of unsupervised learning include clustering and dimensionality reduction
Skills evaluated in this interview
Selected
I applied via Naukri.com and was interviewed before Apr 2022. There were 3 interview rounds.
DS related Case study and discussion
Python code example test where they will ask basic python or sql questions.
Interview Preparation Tips
Genpact Interview FAQs
The duration of Genpact Data Scientist interview process can vary, but typically it takes about less than 2 weeks to complete.
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Genpact Data Scientist Interview Process
based on 11 interviews
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based on 16 reviews
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