Comcast India Engineering Center Data Scientist Interview Questions and Answers

MCQs on ML, SQL. Timed test.

Interviewer was nice and had good knowledge. Asked to introduce myself, asked me to solve 2 programming question on Python.
1. Valid Parenthesis
2. Find longest increasing subsequence

Asked about project and technical questions related to project

Q1. Introduce yourself
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Q2. Asked about project and questions related to project and technical questions on ML, SQL
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Q1. Technical questions related to Machine Learning, SQL and asked about project and relevant technical questions
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Q1. Basic stat and math for ML question in a tricky way.
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Q2. Question related to hypothesis testing, P-value
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Q3. Basic yet tricky questions on ML
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Q4. A puzzle relalted to Probability
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Q1. The technical round lasted over an hour, and I was questioned on statistics, machine learning, projects, and python programming. I was asked about hypothesis testing and the p-value in statistics. I was a...read more
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Q1. We discussed the compensation and benefits and the employment requirements.
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Q1. Probability related
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Q2. Stats related like IQR etc.
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Q1. Difference between entropy & information gain
Ans. 
Entropy measures randomness in data, while information gain measures the reduction in uncertainty after splitting data.
• Entropy is used in decision trees to measure impurity in a dataset before splitting it.

• Information gain is used in decision trees to measure the effectiveness of a split in reducing uncertainty.

• Entropy ranges from 0 (pure dataset) to 1 (completely impure dataset).

• Information gain is calculated as the d...read more
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Q2. LSTM & GRU, Which to use when ?
Ans. 
LSTM for longer sequences, GRU for faster training and less complex models.
• Use LSTM for tasks requiring long-term dependencies and memory retention.

• Use GRU for faster training and simpler models with fewer parameters.

• Consider using LSTM for tasks like language translation or speech recognition.

• Consider using GRU for tasks like sentiment analysis or text generation.
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Time Series data were given, we have to provide some insights

It is an online coding test and the duration is 3 hours. They test your python skills here. Questions are related to Python and Pandas. You have to write code for the given questions.

Q1. Few basic python programs related to lists, data structures, strings, Fibonacci series etc
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Q2. Asked ML related questions like regression, classification algorithms, NLP questions, evaluation metrics, how to handle if there are many attributes in dataset etc
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Q1. Machine learning models
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Q1. Explain projects in detail
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Normal mental ability question

Q1. Live coding and python question asked(like what is list , set)
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Long Coding Test
Questions related to SQL, Cloud Computing(Azure), DSA, Data Science, Advance Stats, Python were asked

Q1. Questions Related to my intern and project Questions related to oops, dbms, python, dsa etc.
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