Tata Electronics Data Analyst Interview Questions and Answers

Q1. Asked to create a power bi dashboard
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Q1. Had coding test on SQL and Python
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Skil set for My relevant job update

Communication discussion

Q1. About My profile and knowledge
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Q2. About My attitude and experience
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Q1. Excel formula and macro MS word and PowerPoint dashboard advanced Excel and power bi
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Q1. Couple of leetcode medium questions (i think it was around 3 questions) and they had their own platform
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Q1. Tell me about the project you have worked recently
Ans. 
Developed a predictive analytics model to forecast customer churn for a telecom company
• Used Python and SQL to clean and analyze customer data

• Implemented machine learning algorithms such as logistic regression and random forest

• Evaluated model performance using metrics like accuracy, precision, and recall
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Q2. What kind of forecasting have you done
Ans. 
I have experience in time series forecasting using statistical models and machine learning algorithms.
• Utilized ARIMA model to forecast sales data for a retail company

• Implemented Prophet algorithm to predict stock prices for a financial institution

• Used LSTM neural network for demand forecasting in supply chain management
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Excel assessment- was made to make a report from multiple sheets

The diagonals AC and BD of a cyclic quadrilateral ABCD intersect each other at the point P. Then, it is always true that

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Q1. Sql rank order explain
Ans. 
SQL rank order function explanation
• Rank order function in SQL assigns a rank to each row based on a specified column

• It can be used to determine the top or bottom N records in a dataset

• Example: SELECT column1, column2, RANK() OVER (ORDER BY column3 DESC) AS rank_order FROM table_name
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Q2. Merging two tables
Ans. 
Merging two tables involves combining data from both tables based on a common key.
• Identify a common key between the two tables

• Use SQL JOIN statements to merge the tables

• Choose the appropriate type of join (e.g. inner join, outer join)

• Consider the size of the tables and the performance implications of the merge
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Q1. Tell me yourself
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Q1. Discussion about salary
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