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I applied via Naukri.com and was interviewed in Jul 2022. There were 3 interview rounds.
A blocking queue is a data structure that allows insertion and removal of elements in a FIFO (First In First Out) manner. If the queue is empty, the removal operation will block until an element is available.
Use a circular buffer to implement the queue
Use a mutex to synchronize access to the queue
Use a condition variable to block the removal operation if the queue is empty
Implement methods for adding and removing eleme
Put call parity is a principle that establishes a relationship between the prices of European call and put options.
Put call parity states that the price of a European call option and a European put option with the same strike price and expiration date should be equal.
The formula for put call parity is C + PV(K) = P + S, where C is the price of the call option, PV(K) is the present value of the strike price, P is the pr...
X being snv what is the expectation of e^x
I applied via Campus Placement and was interviewed in Aug 2021. There were 3 interview rounds.
I am proficient in writing complex SQL queries for data retrieval and manipulation.
I have experience in using various SQL functions like JOIN, GROUP BY, HAVING, etc.
I can write subqueries and nested queries to fetch data from multiple tables.
I am familiar with using SQL for data analysis and reporting purposes.
I have worked with different database management systems like MySQL, Oracle, and SQL Server.
I applied via Referral and was interviewed before Feb 2023. There were 3 interview rounds.
Case study type question on handling millions of data
I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.
Experienced Senior Associate with a background in finance and project management.
Over 5 years of experience in financial analysis and reporting
Skilled in project management and leading cross-functional teams
Strong communication and presentation skills
Proficient in data analysis and financial modeling
Previous roles include managing client relationships and driving business growth
I was proud of myself when I successfully led a team to complete a challenging project ahead of schedule.
Successfully led a team to complete a challenging project ahead of schedule
Received positive feedback from team members and superiors
Demonstrated strong leadership and project management skills
I applied via Referral and was interviewed before Mar 2023. There were 2 interview rounds.
Cypress is a modern testing tool with built-in features, while Selenium is a widely-used open-source tool with a larger community.
Cypress is known for its fast test execution and easy setup compared to Selenium.
Selenium supports multiple programming languages, while Cypress uses JavaScript.
Cypress has a built-in dashboard for easier test management, whereas Selenium requires additional tools for reporting.
Cypress has a...
Use Selenium WebDriver to automate launching an ecomm website, searching for a product, performing pagination, and finding a particular product.
Use Selenium WebDriver to automate browser actions
Navigate to the ecomm website URL
Locate the search bar and enter the particular product name
Handle pagination by clicking on next page buttons or using page numbers
Identify the particular product by its unique identifier or attr
Page object model is a design pattern used in test automation to create an object repository for web UI elements.
Separates test scripts from web elements
Improves code reusability and maintainability
Enhances test readability and reduces duplication
Each web page is represented as a class
I applied via Company Website and was interviewed in Oct 2023. There was 1 interview round.
I applied via Approached by Company and was interviewed in Feb 2024. There was 1 interview round.
I was interviewed before Mar 2023.
Time series methods involve analyzing data points collected at regular intervals over time to identify patterns and trends.
Time series analysis involves studying the past behavior of a variable to forecast its future values.
Common methods include moving averages, exponential smoothing, and autoregressive integrated moving average (ARIMA) models.
Time series data can be used in various fields such as finance, economics,
Bias-variance tradeoff is a key concept in tree-based algorithms, balancing model complexity and generalization ability.
Bias-variance tradeoff refers to the tradeoff between bias (underfitting) and variance (overfitting) in machine learning models.
Decision trees have high variance and low bias, while ensemble methods like Random Forest have lower variance and higher bias.
Regularization techniques like pruning can help ...
Time series methods involve analyzing and forecasting data points collected at regular intervals over time.
Time series analysis involves studying patterns, trends, and seasonality in data over time.
Common methods include moving averages, exponential smoothing, and ARIMA models.
Forecasting techniques such as Holt-Winters method and machine learning algorithms can be used for prediction.
Time series data can be visualized...
Bias-variance tradeoff is a key concept in machine learning, especially in tree-based algorithms.
Bias-variance tradeoff refers to the balance between underfitting (high bias) and overfitting (high variance) in a model.
Decision trees tend to have high variance and low bias, while ensemble methods like Random Forest aim to reduce variance.
Regularization techniques like pruning can help reduce overfitting in tree-based al...
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