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Jio Platforms Data Scientist Interview Questions, Process, and Tips
Top Jio Platforms Data Scientist Interview Questions and Answers
- Q1. Describe the latency of code and how to manage it.
- Q2. Describe decision tree, xgboost, regression algorithms
- Q3. Llm model understanding how to implement
Jio Platforms Data Scientist Interview Experiences
5 interviews found
(2 Questions)
- Q1. Technical things
- Q2. Llm model understanding how to implement
- Ans.
Implementing a LLM model involves understanding its architecture and parameters.
Understand the architecture of the LLM model, which typically involves multiple layers of neurons.
Implement the model using a deep learning framework like TensorFlow or PyTorch.
Fine-tune the model by adjusting hyperparameters such as learning rate and batch size.
Train the model on a dataset with labeled examples to learn patterns and make p...
(2 Questions)
- Q1. Willing to relocate
- Q2. Expected ctc, fixed variable
Interview Preparation Tips
Skills evaluated in this interview
I was interviewed in Oct 2024.
DATA MANUPULATION AND PTYON CODE
Number of ways to reach nth stair
(1 Question)
- Q1. Tell me about you
Jio Platforms interview questions for designations
I applied via Referral and was interviewed before Aug 2021. There was 1 interview round.
(5 Questions)
- Q1. Describe decision tree, xgboost, regression algorithms
- Ans.
Decision tree, xgboost, and regression are machine learning algorithms used for prediction and classification tasks.
Decision tree is a tree-like model that splits data based on the most significant attribute to make predictions.
XGBoost is an optimized implementation of gradient boosting that uses decision trees as base learners.
Regression algorithms are used to predict continuous values based on input features, such as
- Q2. Describe loss function of deep learning.
- Ans.
Loss function measures the difference between predicted and actual values.
It is used to optimize the model during training.
Common loss functions include mean squared error, binary cross-entropy, and categorical cross-entropy.
The choice of loss function depends on the problem being solved and the type of output.
The goal is to minimize the loss function to improve the accuracy of the model.
Loss function can be customized
- Q3. Describe project from start to end with challenges you faced and how you proposed solutions for those challenges.
- Q4. Basic concept of any algorithm. Including intuition and assumptions.
- Q5. Describe the latency of code and how to manage it.
- Ans.
Latency refers to the time delay between a request and a response. It can be managed through various techniques.
Latency can be reduced by optimizing code and minimizing network calls.
Caching can also help reduce latency by storing frequently accessed data.
Load balancing and scaling can help distribute traffic and prevent bottlenecks.
Asynchronous programming can help improve performance by allowing multiple tasks to be ...
Interview Preparation Tips
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
NER training using deep learning
(2 Questions)
- Q1. Describe the approach taken for assignment
- Ans.
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
- Q2. Scenario based questions
Selected
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
(2 Questions)
- Q1. How would you go about learning a new skill
- Q2. Experience in cloud technologies
- Ans.
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
(2 Questions)
- Q1. Tell me about yourself
- Q2. Project details and challenges faced in the project
- Ans.
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
Interview Preparation Tips
Skills evaluated in this interview
I was interviewed in May 2024.
(2 Questions)
- Q1. Tell me about your self?
- Q2. What is maths and stats
- Ans.
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?
Interview Preparation Tips
Data Scientist Interview Questions & Answers
Virtusa Consulting Services
Anonymous
posted on 18 Jan 2025
I was interviewed in Dec 2024.
Asked the question about ml and basic python questions
(1 Question)
- Q1. Machine learning related questions and the theory of its operation
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Jio Platforms Data Scientist Interview Process
based on 5 interviews
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Jio Platforms Data Scientist Reviews and Ratings
based on 22 reviews
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