10+ Interview Questions and Answers

The cause of decreasing sales of apple.

• Seasonal fluctuations

• Increased competition

• Change in consumer preferences

• Supply chain issues

Before Excel, data was stored and analyzed using manual methods.

• Data was stored in physical files such as paper documents or index cards.

• Analysis was done manually using tools such as calculators or statistical tables.

• Data was often organized using charts or graphs.

• Data entry was done by hand, which was time-consuming and prone to errors.

Ticket price for a play in an auditorium

• Analyze the production cost and expected revenue

• Consider the target audience and their willingness to pay

• Research the ticket prices of similar plays in the area

• Offer discounts for early bird or group bookings

• Adjust the price based on demand and availability

Power BI and Tableau are used for data visualization and business intelligence purposes.

• They help in creating interactive dashboards and reports.

• They allow users to analyze and explore data in a visual format.

• They can connect to various data sources and transform data for analysis.

• They provide features like data filtering, sorting, and aggregation.

• They enable users to share insights and collaborate with others.

• Example: Power BI can be used to create a sales dashboard that sho...read more

Random forest is an ensemble learning method that uses multiple decision trees to make predictions, while a decision tree is a single tree-like structure that makes decisions based on features.

• Random forest is a collection of decision trees that work together to make predictions.

• Decision tree is a single tree-like structure that makes decisions based on features.

• Random forest reduces overfitting by averaging the predictions of multiple trees.

• Decision tree can be prone to over...read more

Regression is a statistical method to analyze the relationship between variables. A database is a collection of organized data. Machine learning is a field of AI that enables systems to learn from data.

• Regression is a statistical technique used to understand the relationship between variables.

• A database is a structured collection of data that is stored and accessed electronically.

• Machine learning is a subset of artificial intelligence that focuses on developing algorithms and...read more

The number of coffees sold by CCD in a day varies depending on the location, day of the week, and time of day.

• The number of coffees sold may be higher on weekdays than weekends

• The number of coffees sold may be higher in the morning than in the afternoon or evening

• The number of coffees sold may vary depending on the location of the CCD outlet

• The number of coffees sold may be affected by seasonal factors such as weather

• The number of coffees sold may be influenced by promotional...read more

It is impossible to accurately determine the number of crows in Mumbai.

• There is no official census of crows in Mumbai.

• Crows are highly mobile and can move between different areas of the city.

• The population of crows can fluctuate based on factors such as food availability and weather conditions.

• Estimates of the number of crows in Mumbai range from a few thousand to several hundred thousand.

I don't have the available data to answer this question.

• Sorry, I don't have access to the sales data for swifts in Mumbai.

• Without the data, it's impossible to provide an accurate answer.

Yes, I am proficient in writing formal emails.

• Use a professional tone and language

• Include a clear subject line

• Address the recipient respectfully

• Proofread for grammar and spelling errors

• Sign off appropriately with your name and contact information

Mu Sigma is a leading data analytics and decision sciences company that helps organizations make data-driven decisions.

• Mu Sigma was founded in 2004 and is headquartered in Chicago, Illinois.

• It provides analytics services to various industries such as retail, healthcare, finance, and technology.

• Mu Sigma uses a unique problem-solving approach called the Art of Problem Solving (AoPS) to help clients optimize their decision-making processes.

• The company has a strong focus on innov...read more

I chose MuSigma because of its reputation as a leading analytics firm and its focus on innovation and problem-solving.

• MuSigma has a strong track record of delivering impactful solutions to clients across industries.

• The company values creativity and encourages employees to think outside the box.

• MuSigma provides ample opportunities for professional growth and development.

• The company culture is collaborative and supportive, with a focus on teamwork and knowledge-sharing.

• MuSigma'...read more

My approach to a problem statement involves understanding the problem, gathering data, analyzing the data, and developing a solution.

• Understand the problem statement thoroughly

• Gather relevant data and information

• Analyze the data to identify patterns and insights

• Develop a solution based on the analysis

• Test and refine the solution as needed

Back propagation is a supervised learning algorithm used to train neural networks.

• It is used to adjust the weights of the neural network to minimize the error between the predicted output and the actual output.

• It involves propagating the error backwards from the output layer to the input layer, and adjusting the weights accordingly.

• It uses the chain rule of calculus to calculate the gradient of the error with respect to the weights.

• It is an iterative process that continues un...read more

Query to find the nth largest salary in a database table.

• Use the ORDER BY clause to sort the salaries in descending order.

• Use the LIMIT clause to specify the nth largest salary.

• Consider handling cases where there may be ties for the nth largest salary.

A cost function is a mathematical formula used to measure the cost of a particular decision or set of decisions.

• Cost function helps in evaluating the performance of a model by measuring how well it is able to predict the outcomes.

• It is used in optimization problems to find the best solution that minimizes the cost.

• Examples include mean squared error in linear regression and cross-entropy loss in logistic regression.

Developed a predictive model for customer churn in a telecom company

• Collected and cleaned customer data including usage patterns and demographics

• Used machine learning algorithms such as logistic regression and random forest

• Evaluated model performance using metrics like accuracy and AUC-ROC curve