Kanalytics Analyst Interview Questions and Answers

Easy contains di and dsa questions

Q1. Explain svm algorithm in you project
Ans. 
SVM algorithm is a supervised machine learning model used for classification and regression tasks by finding the optimal hyperplane.
• SVM stands for Support Vector Machine

• It works by finding the hyperplane that best separates the classes in the feature space

• It can handle both linear and non-linear data by using different kernels like linear, polynomial, and radial basis function

• SVM aims to maximize the margin between the...read more
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Q2. Explain 4 pillars of oops
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The 4 pillars of OOP are encapsulation, inheritance, polymorphism, and abstraction.
• Encapsulation: Bundling data and methods that operate on the data into a single unit.

• Inheritance: Ability of a class to inherit properties and behavior from another class.

• Polymorphism: Ability to present the same interface for different data types.

• Abstraction: Hiding the complex implementation details and showing only the necessary featu
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Q1. What has been your experience in your previous roles?
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Q2. Salary expectations?
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Q1. Previous company's experience?
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Q2. Talking about myself?
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DSA based coding round ranging from hard to medium

Q1. What is Jsp servelet
Ans. 
JSP (JavaServer Pages) is a technology used to create dynamic web pages by embedding Java code in HTML.
• JSP allows for the separation of dynamic content from the presentation layer

• JSP files have a .jsp extension and are compiled into servlets by the server

• JSP can be used to create dynamic web applications with Java functionality
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Q1. Casual questions
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Q1. Why did you left previous job?
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Q2. What is the reason you want to join this company?
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Q1. My manager asked to Describe the room in which my interview was conducted.
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Q1. My director just asked about my studies & last job. Also, gave short description about new company.
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Q1. Tell me about yourself
Ans. 
I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
• I have a Bachelor's degree in Statistics and have completed multiple data analysis projects during my studies.

• I am proficient in using statistical software such as R and Python for data analysis.

• I have experience in conducting market research and creating reports to help businesses make informed decisions.

• I am a q...read more
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Q2. Golden rules of accounting
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Golden rules of accounting are basic principles that guide the process of recording financial transactions.
• The three golden rules of accounting are: 1. Debit the receiver, Credit the giver 2. Debit what comes in, Credit what goes out 3. Debit expenses and losses, Credit income and gains

• These rules help maintain the balance in the accounting equation: Assets = Liabilities + Equity

• For example, when a company receives cas...read more
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Section 1 : Quant, verabal, data interpretation, logical reasoning (60 questions)
Section 2 : Excel, Data structures, MS word (15 questions)

Q1. What is R2 score
Ans. 
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.
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Q2. How to check for multicollinearity
Ans. 
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
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