Tiger Analytics Senior Analyst Interview Questions, Process, and Tips

Q1. What is probability
Ans. 
Probability is the likelihood of a specific event occurring, expressed as a number between 0 and 1.
• Probability ranges from 0 (impossible event) to 1 (certain event)

• It can be calculated by dividing the number of favorable outcomes by the total number of possible outcomes

• Probability can be represented as a percentage, fraction, or decimal
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Q2. Write python code
Ans. 
Python code to find the sum of all elements in a list
• Use the sum() function to find the sum of all elements in a list

• Ensure the list contains only numeric values for accurate results
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Hackerearth - python and ML stuff

Q1. EIgen vectors, Math behind algos and previous projects
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Q1. General discussion why to switch?
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Q1. Project description
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Q2. Tech stack used
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Q1. Solve a python coding problem
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Q2. Solve python problem based on dict
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Q1. General questions
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It was a 90-minute Aptitude + Coding test in which some LeetCode medium CP problems were asked.

Q1. Regression models: Which one should be used in which case?
Ans. 
Different regression models are used based on the type of data and relationship between variables.
• Linear regression is used when there is a linear relationship between the independent and dependent variables.

• Logistic regression is used when the dependent variable is binary.

• Polynomial regression is used when the relationship between variables is non-linear.

• Ridge regression is used when there is multicollinearity in the ...read more
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Q2. What is R-squared?
Ans. 
R-squared is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable.
• R-squared ranges from 0 to 1, with 1 indicating that all variance in the dependent variable is explained by the independent variable.

• It is used in regression analysis to determine how well the regression line fits the data points.

• A higher R-squared value indicates a bett...read more
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Q3. Logical and Puzzle Questions?
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Q4. Live Coding: 3-Sum Problem
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Q1. Something about yourself?
Ans. 
I am a detail-oriented Senior Analyst with a passion for data analysis and problem-solving.
• Experienced in conducting thorough research and interpreting complex data sets

• Skilled in creating insightful reports and presentations for stakeholders

• Proficient in using analytical tools such as Excel, SQL, and Tableau
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Q2. Salary Negotiation
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Easy-medium maths coding questions

Q1. SQL problem to be solved using Pandas
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Q2. Project Overview of my previous company
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Q3. Easy Coding question
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Q4. ML algorithm overview of what I have used in my projects
Ans. 
I have used various ML algorithms such as linear regression, decision trees, random forests, and neural networks in my projects.
• Linear regression for predicting continuous values

• Decision trees for classification and regression tasks

• Random forests for ensemble learning and improved accuracy

• Neural networks for complex pattern recognition
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It was basic questions to analyse the logic and problem solving approach. Nothing like complex data structures and algorithms.

Includes some basic mathematics questions (probability, permutation and combination, statistics, inferential statistics, hypothesis testing) and some data manipulation techniques using pandas and SQL (joins, filters, etc.)

Q1. Offer confirmation
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Q2. Salary negotiation
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