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I applied via Campus Placement and was interviewed before Feb 2019. There were 3 interview rounds.
To choose optimum probability threshold from ROC, we need to balance between sensitivity and specificity.
Choose the threshold that maximizes the sum of sensitivity and specificity
Use Youden's J statistic to find the optimal threshold
Consider the cost of false positives and false negatives
Use cross-validation to evaluate the performance of different thresholds
To test time series trend break up, statistical tests like Augmented Dickey-Fuller test can be used.
Augmented Dickey-Fuller test can be used to check if a time series is stationary or not.
If the time series is not stationary, we can use differencing to make it stationary.
After differencing, we can again perform the Augmented Dickey-Fuller test to check for stationarity.
If there is a significant change in the mean or va...
Communicate transparently and offer alternative solutions.
Explain the limitations of the available data and the potential risks of making decisions based on incomplete information.
Offer alternative solutions that can be implemented with the available data.
Collaborate with the customer to identify additional data sources or explore other options to gather more data.
Provide regular updates on the progress of data collect...
I applied via Company Website and was interviewed in Dec 2024. There were 4 interview rounds.
Given Python coding challenge related to string processing and second question was matrix processing using python
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.
Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and combining their predictions through averaging or voting.
Boosting involves training multiple models sequentially, where each subsequent model correc...
To minimize overfitting, use techniques like cross-validation, regularization, early stopping. To minimize underfitting, increase model complexity, gather more data.
Use cross-validation to evaluate model performance on different subsets of data
Apply regularization techniques like L1 or L2 regularization to penalize large coefficients
Implement early stopping to prevent the model from training for too long
Increase model ...
LLM usecase involves using Latent Linear Models for various data analysis tasks.
LLM can be used for dimensionality reduction in high-dimensional data.
LLM can be used for clustering similar data points together.
LLM can be used for anomaly detection in datasets.
LLM can be applied in natural language processing tasks such as text classification.
LLM can be used in recommendation systems to predict user preferences.
I was interviewed in Jan 2025.
I was interviewed in Jan 2025.
A typical case interview.
MasterCard interview questions for popular designations
I was interviewed in Aug 2024.
Software development design patterns are reusable solutions to common problems encountered in software design.
Design patterns help in creating maintainable, scalable, and efficient software.
Singleton design pattern ensures a class has only one instance and provides a global point of access to it.
Example: Implementing a singleton class in Java -
public class Singleton { private static Singleton instance; private Singleto...
I have worked on relational databases like MySQL and PostgreSQL. DML stands for Data Manipulation Language.
Worked on MySQL and PostgreSQL databases
Familiar with writing SQL queries for data manipulation
DML stands for Data Manipulation Language
One challenge when working with microservices is managing communication between services.
Ensuring proper service discovery and registration
Handling network latency and failures
Implementing effective monitoring and logging
Maintaining consistency and data integrity across services
Types of deployments include blue-green, canary, rolling, and immutable.
Blue-green deployment involves running two identical production environments and switching between them.
Canary deployment gradually rolls out changes to a small subset of users before deploying to the entire infrastructure.
Rolling deployment updates a few instances at a time, ensuring continuous availability.
Immutable deployment creates new instanc
Blue Green Deployment is a software release strategy that reduces downtime and risk by running two identical production environments.
In Blue Green Deployment, one environment (blue) is live and serving production traffic while the other (green) is idle and ready to be switched to at any time.
This strategy allows for zero downtime deployments, as the switch between blue and green environments can be done seamlessly.
Blue...
I enjoyed the challenging technical questions and the opportunity to showcase my problem-solving skills.
Challenging technical questions
Opportunity to showcase problem-solving skills
Developed a web-based project management tool for tracking tasks and deadlines.
Implemented user authentication and authorization using JWT tokens
Integrated real-time chat feature using WebSockets
Utilized React for front-end and Node.js for back-end development
Vector databases store data in a vector format, allowing for efficient querying and analysis of high-dimensional data.
Vector databases use vectors to represent data points in a multi-dimensional space.
They are commonly used in machine learning and data science applications for tasks like similarity search and clustering.
Examples of vector databases include Faiss, Annoy, and Milvus.
Yes, I can solve a coding problem in a language I don't know with Google search.
Utilize Google search to understand syntax and concepts in the unfamiliar language
Break down the problem into smaller parts and search for solutions to each part
Refer to online resources, forums, and documentation for guidance
Practice writing and testing code snippets in the new language before attempting the full solution
Use regex to extract location and shop name from transaction string.
Use regular expressions to match patterns for location and shop name.
Look for keywords like 'at', 'from', 'in' to identify location.
Consider variations in transaction strings and account for them in regex patterns.
Example: 'Spent $50 at Starbucks Coffee' -> Location: Starbucks Coffee, Shop Name: Starbucks Coffee
Get interview-ready with Top MasterCard Interview Questions
I applied via Approached by Company and was interviewed in Sep 2024. There was 1 interview round.
Maintaining security in Microservices involves implementing authentication, authorization, encryption, and monitoring.
Implement authentication and authorization mechanisms to control access to microservices.
Use encryption to secure communication between microservices.
Implement monitoring and logging to detect and respond to security incidents.
Regularly update dependencies and patches to address security vulnerabilities...
Kafka is a distributed streaming platform while RabbitMQ is a message broker.
Kafka is designed for high-throughput, fault-tolerant, real-time data streaming.
RabbitMQ is a traditional message broker that follows the AMQP protocol.
Kafka uses a publish-subscribe model while RabbitMQ uses a message queuing model.
Kafka is horizontally scalable and provides strong durability guarantees.
RabbitMQ supports multiple messaging pr...
CQRS pattern can be used in scenarios where read and write operations need to be separated for better scalability and performance.
CQRS can be used in applications with complex domain models that require different models for reading and writing data.
It can be beneficial in scenarios where read operations heavily outnumber write operations.
CQRS is useful when there is a need to optimize read and write operations independ...
Implementing eventual consistency in a relational DB involves careful design and use of techniques like conflict resolution and versioning.
Use timestamp-based conflict resolution to handle conflicting updates.
Implement versioning to track changes and resolve conflicts.
Consider using distributed transactions or distributed consensus algorithms like Paxos or Raft.
Use compensating transactions to rollback changes in case ...
General DSA with some ds questions
I will walk through my resume highlighting key experiences and skills.
Started with education background, mentioning degrees and relevant coursework
Highlighted previous internships or work experience in data science or related fields
Discussed projects worked on, including tools and techniques used
Mentioned any relevant skills such as programming languages, statistical analysis, and machine learning algorithms
Object-oriented programming (OOP) is useful for creating reusable code, organizing complex systems, and modeling real-world entities.
Encapsulation: OOP allows for bundling data and methods into objects, providing data security and reducing complexity.
Inheritance: OOP enables the creation of new classes based on existing ones, promoting code reuse and reducing redundancy.
Polymorphism: OOP allows objects to be treated as...
I applied via Campus Placement
3 Coding Questions of moderate level .
To find the nth salary in a dataset
Sort the dataset in descending order based on salary
Remove duplicates if necessary
Return the salary at index n-1
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