Celebal Technologies Data Scientist Interview Questions, Process, and Tips

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

The session lasted three hours and covered a wide range of topics, including DBMS, operating systems, SQL, computer networks, command-line interface commands, and data science topics such as Python, Pandas, and NumPy. Advanced topics included error handling and various algorithms like classification and clustering, along with deep learning concepts. Additionally, two data structures and algorithms questions were addressed, one being moderate and the other challenging, focusing on dynamic programming with bitmasking.

Q1. What are the basics of data science?
Ans. 
Data science involves extracting insights from data using various techniques and tools.
• Data collection and cleaning

• Exploratory data analysis

• Statistical modeling and machine learning

• Data visualization

• Communication of results
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Q2. What are the best practices for handling large data sets ?
Ans. 
Best practices for handling large data sets include data preprocessing, using distributed computing frameworks, and optimizing storage and retrieval methods.
• Perform data preprocessing to clean and transform data before analysis.

• Utilize distributed computing frameworks like Hadoop or Spark for parallel processing.

• Optimize storage and retrieval methods by using efficient data structures and indexing.

• Consider using cloud ...read more
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Q3. What is the purpose of a confusion matrix in data science?
Ans. 
A confusion matrix is a table that is used to describe the performance of a classification model.
• It shows the number of true positives, true negatives, false positives, and false negatives.

• It helps in evaluating the performance of a machine learning model by providing insights into the model's accuracy, precision, recall, and F1 score.

• It is particularly useful in scenarios where class imbalance exists or when different...read more
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Q4. Discussion around Kubernetes ?
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Q1. Can you provide an overview of yourself and your past experiences?
Ans. 
I am a data scientist with a background in statistics and machine learning.
• I have a Master's degree in Data Science from XYZ University.

• I have worked as a data analyst at ABC Company, where I developed predictive models for customer behavior.

• I am proficient in programming languages such as Python and R, and have experience working with big data tools like Hadoop and Spark.
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Q2. How effective do you find it when interviewers check your confidence by asking apparent questions that may lead to hesitation in your responses?
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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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Normal mental ability question

Q1. Live coding and python question asked(like what is list , set)
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