CoinDCX Manual Tester Interview Questions and Answers

Q1. When do you prefer Decision Tree better than Random Forest model if model outputs are similar
Ans. 
Decision Tree is preferred over Random Forest when interpretability is important.
• Decision Tree is easier to interpret and visualize than Random Forest.

• Decision Tree is better suited for small datasets with few features.

• Random Forest is better suited for large datasets with many features.

• Random Forest is less prone to overfitting than Decision Tree.

• Decision Tree can be used as a building block for Random Forest.

• If inter...read more
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Q1. Why do you want to work here
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Q1. Linear regression? python coding of lists.
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Q1. Linear regression? python coding
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Q1. Questions were all related to the role i.e Market Mix Modeling . Structure of a model, types of KPI that are reported to Client ( ROI, effectiveness etc), Statistical parameters to verify model, how to fin...read more
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Q1. Questions related to SAP BW and HANA
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Q1. Questions related to SAP BW and HANA
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Q1. Reason for Job Change
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A technical test for whatever technical round you are applying for. Will be conceptual test rather than hard/coded test

Q1. For almost 1.5 hrs where technical questions being asked. level is easy to medium but mainly they focus on how fast are you while you stuck in a problem and your concepts
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Q2. How can you derive (%share) in power bi
Ans. 
To derive % share in Power BI, use the 'Group By' function and create a measure using the 'Divide' function.
• Use the 'Group By' function to group the data by the desired category

• Create a measure using the 'Divide' function to calculate the percentage share

• Add the measure to a visual to display the % share

• Example: = DIVIDE(SUM(Sales[Revenue]), CALCULATE(SUM(Sales[Revenue]), ALL(Sales)))
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Q1. This was with the Project Manager to see how well you can provide solutions and interact with client.
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Q1. Salary discussion and all
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Q1. I was provided with a Marketing Mix Model problem statement and I have to provide the complete solution in excel and powerpoint presentation. In first round, The Question were all around my previous projec...read more
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Q2. What is adstock, decay, Due tos Contributions? How do you evaluate the model? What is seasonality and the formula for seasonality? Do seasonality have any contribution?
Ans. 
Explanation of adstock, decay, Due tos Contributions, seasonality and its formula.
• Adstock is the measure of the lasting impact of advertising on consumer behavior.

• Decay refers to the reduction in the effectiveness of advertising over time.

• Due tos Contributions is the attribution of sales to different marketing channels.

• Seasonality is the pattern of sales or other metrics that repeat over a fixed period of time.

• The form...read more
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Q1. Second round was improvement on the model provided by me as the solution for MMM question. Technical questions were more on reasoning for the variables selected and understanding of the concepts of MMM. L...read more
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Q1. Salary Discussion and stuff related to that
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