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I applied via Naukri.com and was interviewed in Jan 2021. There were 3 interview rounds.
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I was interviewed in Dec 2024.
Our team follows a CI/CD workflow that includes automated testing, code reviews, and continuous integration.
Automated testing is run on every code change to catch bugs early.
Code reviews are conducted before merging changes to ensure code quality.
Continuous integration is used to automatically build and test code changes in a shared repository.
Deployment pipelines are set up to automate the release process.
Version cont...
Yes, there have been security incidents and I have handled them effectively.
Implemented security protocols to prevent future incidents
Conducted thorough investigation to identify the root cause
Collaborated with IT team to strengthen security measures
Communicated with stakeholders to ensure transparency and trust
Provided training to employees on cybersecurity best practices
Authentication verifies the identity of a user, while authorization determines what actions a user is allowed to perform.
Authentication confirms the identity of a user through credentials like passwords or biometrics.
Authorization determines the level of access or permissions a user has once their identity is confirmed.
Authentication is the process of logging in, while authorization is the process of granting or denyin...
LLD for an authentication and authorization system
Separate modules for authentication and authorization
Use of secure hashing algorithms for storing passwords
Role-based access control implementation
Audit logging for tracking user actions
Integration with external identity providers
Design a document managed storage like Google Drive as an E2E solution.
Implement user authentication and authorization for secure access.
Create a user-friendly interface for uploading, organizing, and sharing documents.
Include features like version control, file syncing, and search functionality.
Utilize cloud storage for scalability and accessibility.
Implement encryption for data security.
Integrate with third-party app
I was interviewed in Jan 2025.
I have 5 years of experience in analyzing large datasets to extract valuable insights and make data-driven decisions.
Analyzed customer behavior data to optimize marketing strategies
Built predictive models to forecast sales trends
Utilized machine learning algorithms to improve product recommendations
Presented findings to stakeholders in a clear and actionable manner
Questions related to work experience in data science field.
Asked about previous projects worked on
Inquired about specific data analysis techniques used
Discussed challenges faced and how they were overcome
posted on 11 Sep 2024
I applied via Company Website and was interviewed in Aug 2024. There was 1 interview round.
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...
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...
DSA and ML, AI, Coding question
posted on 20 Jul 2024
Difficult To solve in 30 minutes
I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.
SQL, Python coding …
Given 6 coding qns related to java and html and also ML.
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
I applied via Approached by Company and was interviewed before Mar 2023. There was 1 interview round.
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
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