Tiger Analytics Senior Analyst Interview Questions and Answers

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
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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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Developed a data analysis project to optimize marketing strategies for a retail company.
• Utilized customer segmentation techniques to identify target demographics

• Analyzed sales data to determine the most effective marketing channels

• Implemented A/B testing to measure the impact of different marketing campaigns
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Q2. Tech stack used
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Our tech stack includes Java, Spring Boot, Angular, and PostgreSQL.
• Java

• Spring Boot

• Angular

• PostgreSQL
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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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This problem involves manipulating dictionaries in Python to achieve a specific goal.
• Use dict methods like .get() to safely access values.

• Example: my_dict.get('key', default_value) returns default_value if 'key' is not found.

• Iterate through a dictionary using for loops: for key, value in my_dict.items():.

• Example: for k, v in my_dict.items(): print(k, v) prints all key-value pairs.

• Use dictionary comprehensions for conci...read more
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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?
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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
Ans. 
The 3-Sum problem involves finding triplets in an array that sum to zero.
• Input: An array of integers, e.g., [-1, 0, 1, 2, -1, -4].

• Output: Unique triplets that sum to zero, e.g., [[-1, -1, 2], [-1, 0, 1]].

• Approach: Sort the array, then use two pointers to find pairs that complement the current element.

• Time Complexity: O(n^2) due to the nested loops.

• Space Complexity: O(1) if the output is not counted, O(k) if storing res...read more
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Q1. Something about yourself?
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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
Ans. 
Using Pandas to solve SQL-like data manipulation problems efficiently.
• Use `pd.read_sql()` to load data from SQL databases into DataFrames.

• Utilize `groupby()` for aggregating data similar to SQL's GROUP BY.

• Apply `merge()` to join DataFrames akin to SQL JOIN operations.

• Filter data using boolean indexing, similar to SQL's WHERE clause.

• Use `pivot_table()` for creating pivot tables like SQL's PIVOT.
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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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Q1. How do you calculate the volume of the perpendicular intersection between two cylindrical objects of equal radius?
Ans. 
Calculate the volume of intersection between two equal-radius cylinders intersecting perpendicularly.
• Identify the radius (r) of the cylinders.

• Use the formula for the volume of intersection: V = 8/3 * r^3.

• This formula applies when the cylinders are of equal radius and intersect at right angles.

• Example: For r = 2, V = 8/3 * (2^3) = 8/3 * 8 = 64/3 ≈ 21.33 cubic units.
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Q2. If the sum of three prime numbers is 100 and the difference between two of these prime numbers is 31, what are the three prime numbers?
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Q3. If n people are attending your party, how many unique handshakes will occur?
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