Cummins Data Analyst Interview Questions and Answers

Q1. Tell us data science project where you developed a script for forecastings, KNN, Data science models with practical examples.
Ans. 
Developed a script for forecasting using KNN and data science models.
• Developed a script using Python to forecast sales for a retail company using KNN algorithm.

• Built a data science model to predict customer churn for a telecom company using logistic regression.

• Used time series analysis to forecast stock prices for a financial services company.

• Developed a script to predict the likelihood of a customer defaulting on a lo...read more
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Q2. 1. Why you are asking this role is for Data analyst or data scientist? 2. Don't go for the provided JD and do you think you are well aware of Data science concepts and models, algorithms etc.
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30 questions and time was approx. 45 min to 60 min

There were some basic as well as some high level questions

Q1. What are joins and its types?
Ans. 
Joins are used to combine rows from two or more tables based on a related column between them.
• Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

• INNER JOIN returns rows when there is at least one match in both tables.

• LEFT JOIN returns all rows from the left table and the matched rows from the right table.

• RIGHT JOIN returns all rows from the right table and the matched rows from the left table.

• FULL ...read more
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Q2. What are aggregate functions?
Ans. 
Aggregate functions are functions in databases that perform a calculation on a set of values and return a single value.
• Aggregate functions are used to perform operations on a group of rows and return a single result.

• Common aggregate functions include SUM, AVG, COUNT, MIN, and MAX.

• For example, SUM function calculates the total of a column, AVG calculates the average, COUNT counts the number of rows, MIN finds the minimu
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Q1. Coding questions in python eda part
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Q1. Where do u see in next 5 years
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