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I applied via Job Fair and was interviewed in May 2024. There were 3 interview rounds.
They gave a span of 3 days to build an AI-powered webapp
I have experience working with cloud technologies such as AWS, Azure, and Google Cloud Platform.
Experience in setting up and managing virtual machines, storage, and networking in cloud environments
Knowledge of cloud services like EC2, S3, RDS, and Lambda
Experience with cloud-based data processing and analytics tools like AWS Glue and Google BigQuery
Developed a predictive model for customer churn in a telecom company
Collected and cleaned customer data from various sources
Performed exploratory data analysis to identify key factors influencing churn
Built and fine-tuned machine learning models to predict customer churn
Challenges included imbalanced data, feature engineering, and model interpretability
I applied via Referral and was interviewed in May 2024. There were 2 interview rounds.
Model inference is the process of using a trained machine learning model to make predictions on new data.
Load the trained model
Preprocess the new data in the same way as the training data
Feed the preprocessed data into the model to make predictions
Interpret the model's output to make decisions or take actions
Optimizing Spark queries involves tuning configurations, partitioning data, using appropriate data formats, and caching intermediate results.
Tune Spark configurations for memory, cores, and parallelism
Partition data to distribute workload evenly
Use appropriate data formats like Parquet for efficient storage and retrieval
Cache intermediate results to avoid recomputation
No, I have not used GEN AI in my work as a Data Scientist.
I have not used GEN AI in any of my projects or analyses.
I am not familiar with GEN AI and its capabilities.
I have not had the opportunity to work with GEN AI in any capacity.
I take my solution to production by following a structured process involving testing, deployment, monitoring, and maintenance.
Develop a robust testing strategy to ensure the solution performs as expected in a production environment
Use continuous integration and continuous deployment (CI/CD) pipelines to automate the deployment process
Implement monitoring tools to track the performance of the solution in real-time and a...
I applied via Job Fair and was interviewed in Jun 2024. There were 2 interview rounds.
Coding test with mcq - aptitude , coding , stats , ml
What people are saying about Nagarro
I applied via Approached by Company and was interviewed before Jun 2022. There were 4 interview rounds.
Quant, Reasoning and python based MCQs
Data science project pipeline involves multiple components and follows a step-by-step process.
1. Define the problem statement and objectives of the project.
2. Collect and preprocess the data needed for analysis.
3. Explore and visualize the data to gain insights.
4. Build and train machine learning models to solve the problem.
5. Evaluate the models using appropriate metrics.
6. Deploy the model into production and monitor...
Nagarro interview questions for designations
I applied via Job Portal and was interviewed before Jan 2021. There was 1 interview round.
Get interview-ready with Top Nagarro Interview Questions
NER training using deep learning
I approach assignments by breaking them down into smaller tasks, setting deadlines, and regularly checking progress.
Break down the assignment into smaller tasks to make it more manageable
Set deadlines for each task to stay on track
Regularly check progress to ensure everything is on schedule
Seek feedback from colleagues or supervisors to improve the quality of work
I was interviewed in May 2024.
Maths and stats refer to the study of mathematical concepts and statistical methods for analyzing data.
Maths involves the study of numbers, quantities, shapes, and patterns.
Stats involves collecting, analyzing, interpreting, and presenting data.
Maths is used to solve equations, calculate probabilities, and model real-world phenomena.
Stats is used to make informed decisions, draw conclusions, and test hypotheses.
Both ma...
Confusion matrix what are your job rolls explain me Gradient boosting algorithm?
posted on 18 Jan 2025
I was interviewed in Dec 2024.
Asked the question about ml and basic python questions
posted on 6 May 2024
I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.
I applied via Campus Placement
Bulb and switch puzzle
Rope burning and length question
based on 4 interviews
1 Interview rounds
based on 14 reviews
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