Tiger Analytics Interview Questions, Process, and Tips

There 2 python questions, it was medium to difficulty level questions.

Q1. Project explanation, then there were a lot of questions on machine learning and algorithms, one question was on python live coding.
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Q2. 1. Explain about clustering methods.
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Clustering methods group similar data points together based on their characteristics.
• Clustering is an unsupervised learning technique.

• It is used to identify patterns and groupings in data.

• Common clustering methods include k-means, hierarchical, and density-based clustering.

• K-means clustering partitions data into k clusters based on distance from a centroid.

• Hierarchical clustering creates a tree-like structure of nested...read more
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Q1. Project explanation, live SQL coding, live python for data science coding questions, aptitude questions and a lot of questions on machine learning.
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Q2. 1. Confusion Matrix 2. What is recall and precision? 3. Explain about ROC curve 4. Based on what RFE eliminate the features? 5. SQL question which requires grouping 6. How to read a dataframe, display top ...read more
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Interview questions for Senior Analyst Data Science
• Confusion matrix is a table used to evaluate the performance of a classification model

• Recall is the ratio of true positives to the sum of true positives and false negatives

• Precision is the ratio of true positives to the sum of true positives and false positives

• ROC curve is a graphical representation of the performance of a binary classifier

• RFE eliminates features based...read more
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Q1. General discussion on salary and culture fit.
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Q1. Python manipulating arrays
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Q2. Lambda functions, ML basic, Probability, puzzle
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Q1. Aptitude, ML basic, bias vs variance, RF in depth questions, projects discussion
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Analytics Case Study on Insurance Data

Q1. Live case study to improve the data quality for an Insurer
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3 question were given for coding round.

Q1. Both technical, and puzzles were asked in the interview.
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