Analytical
Analytical Interview Questions and Answers
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Q1. Real life examples where SVM and ANN can help in solving a problem?
SVM and ANN can be used in various real-life scenarios for classification and prediction tasks.
SVM can be used for image classification, text classification, and fraud detection.
ANN can be used for speech recognition, natural language processing, and predicting stock prices.
Both SVM and ANN can be used in medical diagnosis and predicting disease outcomes.
SVM can also be used in recommendation systems and identifying spam emails.
Q2. Predict the Number of people online on Facebook right now in Chennai
It is not possible to predict the exact number of people online on Facebook in Chennai at any given moment.
Facebook does not publicly disclose real-time user data.
The number of people online on Facebook in Chennai can vary greatly throughout the day.
Factors like time of day, day of the week, and current events can influence the number of people online.
Facebook's user base is constantly changing as people log in and out of their accounts.
Without access to Facebook's internal d...read more
Analytical Interview Questions and Answers for Freshers
Q3. Customerz who have done transaction in more than 10 consecutive days
To identify customers who have made transactions on more than 10 consecutive days.
Identify customers who have made transactions every day for at least 10 days in a row.
Check transaction history for each customer to determine consecutive days of transactions.
Create a list of customers who meet the criteria.
Consider using SQL queries or data visualization tools to analyze the data.
Example: Customer A made transactions on days 1-10 consecutively, while Customer B only made trans...read more
Q4. Do you solve any Kaggle Competition?
Yes, I have participated in several Kaggle competitions.
I have participated in Kaggle competitions related to image classification and natural language processing.
I have used various machine learning algorithms such as Random Forest, Gradient Boosting, and Convolutional Neural Networks.
I have achieved a top 10% ranking in a Kaggle competition on image classification.
I have also contributed to open-source projects related to Kaggle competitions.
Q5. Problem solving - why is cancellation increasing ?
Cancellation may be increasing due to poor customer service, unclear policies, or external factors like economic downturn.
Poor customer service leading to dissatisfaction and cancellations
Unclear cancellation policies causing confusion and frustration
External factors such as economic downturn affecting customers' ability to continue services
Competitors offering better deals or services leading to customer churn
Q6. What is SVM?
SVM stands for Support Vector Machine, a supervised learning algorithm used for classification and regression analysis.
SVM is a type of machine learning algorithm that analyzes data for classification and regression analysis.
It works by finding the best possible boundary between different classes of data points.
SVM can be used for both linear and non-linear data.
It is commonly used in image classification, text classification, and bioinformatics.
SVM is known for its ability t...read more
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Q7. Create a list of decreasing integers along with date
List of decreasing integers with dates
Create an array of strings with decreasing integers and corresponding dates
Start with the highest integer and oldest date, and decrease the integer with each subsequent date
Example: ['10 - 2022-01-01', '9 - 2022-01-02', '8 - 2022-01-03', ...]
Q8. Example of a pressure situation?
A deadline for a project submission
Meeting a tight deadline
Presenting in front of a large audience
Handling a crisis situation
Negotiating a deal under time pressure
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Q9. What is ANN?
ANN stands for Artificial Neural Network, a machine learning model inspired by the structure and function of the human brain.
ANN is a type of deep learning algorithm that can be used for tasks such as image recognition, natural language processing, and predictive analytics.
It consists of layers of interconnected nodes that process and transmit information, with each layer performing a different type of computation.
ANNs require large amounts of data to train and can be computa...read more
Q10. Instrumentation of a SQL table
Instrumentation of a SQL table
Instrumentation involves adding code to a SQL table to track its usage and performance
This can include adding triggers, stored procedures, and indexes
Instrumentation can help identify bottlenecks and optimize queries
Tools like SQL Server Profiler can also be used for instrumentation
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