HighRadius Data Analyst Interview Questions and Answers

Q1. SQL Joins and remove duplicates
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Q2. Function to create a transaction bin column
Ans. 
Create a function to generate a transaction bin column based on transaction amounts.
• Create bins based on transaction amounts (e.g. $0-$100, $101-$200, etc.)

• Use pandas cut() function in Python to create bins

• Assign bin labels to the transactions based on the bin ranges
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Sql, python, statistical questions

Q1. How daily work looks like?
Ans. 
Daily work involves analyzing data, creating reports, and communicating findings to stakeholders.
• Reviewing and cleaning data sets

• Creating visualizations and dashboards

• Conducting statistical analysis

• Communicating insights to non-technical stakeholders
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Q2. Most ise tools?
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Some of the most commonly used tools for data analysis include Excel, Python, R, Tableau, and SQL.
• Excel is widely used for data manipulation and analysis.

• Python and R are popular programming languages for data analysis and machine learning.

• Tableau is a powerful data visualization tool.

• SQL is essential for querying databases and extracting data.
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4 sql tasks on 3 tables. Joins, subqueries

It was a basic Aptitude test, Needed to learn Probability, Permutation , Cobination and SQL.
Total Duration 1 Hour.

Topics were, DSA, SQL, PL/SQL, Data Augmentation

Customer churn classification using a classification ML model

Q1. Write a pseudo code for Bubble sort
Ans. 
Bubble sort is a simple sorting algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order.
• Start with the first element and compare it with the next element, swapping if necessary

• Repeat this process for each pair of adjacent elements in the array until the entire array is sorted

• Continue this process for each element in the array until no more swaps are ne
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Q2. What is an API
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An API (Application Programming Interface) is a set of rules and protocols that allows different software applications to communicate with each other.
• APIs define the methods for requesting and receiving data between software applications

• APIs can be used to access data from external sources, such as social media platforms or weather services

• Examples of APIs include the Twitter API, Google Maps API, and Spotify API
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Q1. Tell me about yourself
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I am a data analyst with a strong background in statistics and data visualization.
• Graduated with a degree in Statistics

• Proficient in programming languages like Python and R

• Experience in analyzing large datasets and creating data visualizations

• Strong problem-solving skills and attention to detail
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Q2. Salaray compensation how much
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Q1. Tell me about yourself and the current projects you are working on.
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Q1. Sql Questions on regex, json , window functions were there.
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Q1. Questions on current project, Tableau related question were there.
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Q1. Basics of Logistic regression
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Q2. What is Logistic Regression? What is Recall
Ans. 
Logistic Regression is a statistical method used to model the probability of a certain event occurring based on one or more predictor variables. Recall is a metric used to evaluate the performance of a classification model.
• Logistic Regression is used for binary classification tasks, where the outcome variable is categorical and has two classes.

• It estimates the probability that a given input belongs to a certain categor...read more
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Q3. What is Recall?
Ans. 
Recall is a metric used in classification models to measure the ability of the model to find all relevant cases within a dataset.
• Recall is calculated as the number of true positive predictions divided by the sum of true positive and false negative predictions.

• It is also known as sensitivity or true positive rate.

• A high recall indicates that the model is good at identifying all relevant cases, even if it means more fals...read more
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Q4. What is the difference between linear and logistic reg.?
Ans. 
Linear regression is used for predicting continuous values, while logistic regression is used for predicting binary outcomes.
• Linear regression is used when the target variable is continuous and has a linear relationship with the independent variables.

• Logistic regression is used when the target variable is binary or categorical and the relationship between independent variables and the target is non-linear.

• Linear regres...read more
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Q5. What are the performance metrics of Regression
Ans. 
Performance metrics of Regression include Mean Squared Error, R-squared, Mean Absolute Error, etc.
• Mean Squared Error (MSE)

• R-squared (R^2)

• Mean Absolute Error (MAE)

• Root Mean Squared Error (RMSE)

• Adjusted R-squared
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Q1. Implement lag() and lead() without using lag() or lead()
Ans. 
Implement lag() and lead() functions without using lag() or lead()
• To implement lag(), shift the values in the array by one position to the right

• To implement lead(), shift the values in the array by one position to the left

• For example, to implement lag() on [1, 2, 3, 4], you can shift the values to get [null, 1, 2, 3]

• For lead(), you can shift the values to get [2, 3, 4, null]
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Q2. How will you go about optimising a query?
Ans. 
Optimising a query involves identifying bottlenecks and improving efficiency.
• Identify slow-performing queries using tools like query execution plans.

• Optimize database indexes to speed up query performance.

• Limit the number of columns and rows returned in the query.

• Avoid using SELECT * and instead specify only the necessary columns.

• Use appropriate data types and avoid unnecessary data conversions.

• Consider denormalizing d...read more
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Q3. If the 3rd position in a string contains 'b' replace it with 'v'
Ans. 
Replace 'b' with 'v' in the 3rd position of each string in an array
• Iterate through each string in the array

• Check if the 3rd position contains 'b'

• If yes, replace 'b' with 'v'
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Q1. What techonologies do you know?
Ans. 
I am proficient in SQL, Python, R, Tableau, and Excel for data analysis and visualization.
• SQL

• Python

• R

• Tableau

• Excel
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SQL Coding Tests. You get 3 tables and they ask you to find customer with certain conditions. Not hard