Delhivery Data Scientist Interview Questions and Answers

It was on python ,SQL ,logical reasoning and quant

Case study was given on a business scenario

Q1. Technical questions based on cv related to ML project And HR question
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Q2. What is cross validation explain in layman term What is precision What is confusion Matrix draw with dummy data
Ans. 
Cross validation is a technique to evaluate the performance of a model by splitting the data into multiple subsets.
• Cross validation helps in assessing how well a model generalizes to new data.

• It involves splitting the data into training and testing sets multiple times to get a more reliable estimate of model performance.

• Common types of cross validation include k-fold cross validation and leave-one-out cross validation.
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Q3. Tell me a situation where your opinion came to help
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Q4. Draw confusion Matrix on board
Ans. 
Confusion Matrix is a table used to describe the performance of a classification model.
• Confusion Matrix is a 2x2 table with Actual and Predicted values

• It consists of True Positive, True Negative, False Positive, and False Negative

• Example: TP=100, TN=50, FP=10, FN=5

• Accuracy = (TP + TN) / (TP + TN + FP + FN)

• Precision = TP / (TP + FP)

• Recall = TP / (TP + FN)
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Q5. Project related questions - objective,reuslts
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It was 45 min interview based on mathematical, probablity, statistical, machine leaning based questions

It has SAS python SQL aptitude logic

Was given a case study on how should fedex should grow inorganic or organic

Q1. Related to Machine learning and HR What is overfitting?
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Q2. What is cross validation
Ans. 
Cross validation is a technique used to evaluate the performance of a machine learning model by testing it on multiple subsets of the data.
• It involves dividing the data into multiple subsets or folds.

• The model is trained on a subset and tested on the remaining subset.

• This process is repeated for all subsets and the results are averaged to get a final performance metric.

• It helps to prevent overfitting and provides a mor...read more
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Q3. What is confusion matrix
Ans. 
A confusion matrix is a table used to evaluate the performance of a classification model.
• It shows the number of true positives, true negatives, false positives, and false negatives.

• It helps in calculating various evaluation metrics like accuracy, precision, recall, and F1 score.

• It is useful in comparing the performance of different models.

• Example: A confusion matrix for a binary classification problem can be represente...read more
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It was on python ,SQL ,logical reasoning and quant

Case study was given on a business scenario

Q1. Technical questions based on cv related to ML project And HR question
Add your answer
Q2. What is cross validation explain in layman term What is precision What is confusion Matrix draw with dummy data
Ans. 
Cross validation is a technique to evaluate the performance of a model by splitting the data into multiple subsets.
• Cross validation helps in assessing how well a model generalizes to new data.

• It involves splitting the data into training and testing sets multiple times to get a more reliable estimate of model performance.

• Common types of cross validation include k-fold cross validation and leave-one-out cross validation.
Answered by AI
Add your answer
Q3. Tell me a situation where your opinion came to help
Add your answer
Q4. Draw confusion Matrix on board
Ans. 
Confusion Matrix is a table used to describe the performance of a classification model.
• Confusion Matrix is a 2x2 table with Actual and Predicted values

• It consists of True Positive, True Negative, False Positive, and False Negative

• Example: TP=100, TN=50, FP=10, FN=5

• Accuracy = (TP + TN) / (TP + TN + FP + FN)

• Precision = TP / (TP + FP)

• Recall = TP / (TP + FN)
Answered by AI
Add your answer
Q5. Project related questions - objective,reuslts
Add your answer