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I applied via Referral and was interviewed in Apr 2021. There were 3 interview rounds.
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I did not take the GRE exam.
I did not apply for a program that required GRE scores.
My focus was on gaining practical experience through internships and projects.
I have excelled in my academic and professional pursuits without a GRE score.
CAT was challenging but I managed to do well.
CAT was a difficult exam but I prepared well for it.
I had to manage my time effectively during the exam.
I am confident that I did well in the exam.
The exam tested my analytical and problem-solving skills.
Overall, I am satisfied with my performance in CAT.
I am committed to gaining practical experience and contributing to the growth of the company.
I believe that practical experience is just as valuable as academic knowledge
I am excited about the opportunity to contribute to the growth of the company
I am committed to continuously learning and improving my skills through on-the-job training and professional development programs
My area of interest is artificial intelligence and machine learning.
I am fascinated by the potential of AI and ML to revolutionize various industries.
I enjoy exploring the latest advancements in deep learning and natural language processing.
I am particularly interested in the ethical implications of AI and the need for responsible development.
Some of my favorite examples of AI in action include self-driving cars, virtu
I have applied to a few companies, but I prefer not to disclose the names. I have cleared multiple rounds in each of them.
I have applied to a few companies, but I prefer not to disclose the names.
I have cleared multiple rounds in each of them.
I believe that each company has its own unique hiring process and requirements.
I am confident in my abilities and qualifications, and I am open to exploring opportunities with any
Transportation problem is a linear programming problem that deals with minimizing the cost of transporting goods from sources to destinations.
It involves determining the optimal way to transport goods from sources to destinations
It considers factors such as cost, capacity, and demand
It can be solved using various methods such as the North-West Corner Method, Least Cost Method, and Vogel's Approximation Method
Example: A...
Trans-shipment problem can be solved in Excel Solver by setting up a linear programming model.
Define decision variables for the amount of goods to be shipped between each pair of locations.
Set up constraints to ensure that the supply and demand at each location are met.
Add constraints to limit the amount of goods that can be shipped through intermediate locations.
Define the objective function to minimize the total cost...
I applied via Campus Placement and was interviewed before Dec 2023. There were 2 interview rounds.
Basic aptitude questions alongside various SQL queries.
I applied via Referral and was interviewed in Sep 2024. There were 2 interview rounds.
Section 1 : Quant, verabal, data interpretation, logical reasoning (60 questions)
Section 2 : Excel, Data structures, MS word (15 questions)
R2 score is a statistical measure that represents the proportion of the variance in the dependent variable that is predictable from the independent variable(s).
R2 score ranges from 0 to 1, with 1 indicating a perfect fit.
It is often used in regression analysis to evaluate the goodness of fit of a model.
R2 score can be interpreted as the percentage of the response variable variation that is explained by a linear model.
Multicollinearity can be checked using correlation matrix, variance inflation factor (VIF), and eigenvalues.
Calculate the correlation matrix between independent variables. High correlation coefficients indicate multicollinearity.
Calculate the VIF for each independent variable. VIF values above 10 indicate multicollinearity.
Check for multicollinearity using eigenvalues of the correlation matrix. If there are eigenvalues
It was just basic apti
SQL is a traditional relational database management system, while NoSQL is a non-relational database system.
SQL is structured query language used for relational databases
NoSQL is a non-relational database system that can handle unstructured data
SQL databases are table-based, NoSQL databases are document, key-value, graph, or wide-column stores
SQL is good for complex queries and transactions, NoSQL is better for large a
1 Hour : 60 Question
1 Hour : 3 Question DSA
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