Go-Jek Senior Analytics and Data Scientist Interview Questions and Answers

Q1. What's your favorite class in university?
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Q2. Why this position?
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Q1. What is Bert and transformer
Ans. 
Bert and transformer are models used in natural language processing for tasks like text classification and language generation.
• Bert (Bidirectional Encoder Representations from Transformers) is a transformer-based model developed by Google for NLP tasks.

• Transformer is a deep learning model architecture that uses self-attention mechanisms to process sequential data like text.

• Both Bert and transformer have been widely use...read more
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Q2. NLP pre processing techniques
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NLP pre processing techniques involve cleaning and preparing text data for analysis.
• Tokenization: breaking text into words or sentences

• Stopword removal: removing common words that do not add meaning

• Lemmatization: reducing words to their base form

• Normalization: converting text to lowercase

• Removing special characters and punctuation
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Q1. Basic questions
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Q2. Strength weakness
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Q1. How to check model performance? Over fit vs underfit?
Ans. 
Model performance can be checked using various metrics such as accuracy, precision, recall, F1 score, and confusion matrix.
• Split data into training and testing sets

• Train the model on the training set

• Evaluate the model on the testing set using metrics such as accuracy, precision, recall, F1 score, and confusion matrix

• If the model performs well on the testing set, it is not overfit or underfit

• If the model performs well o...read more
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Python code for 45 mins. Pandas , group by , filtering questions

Q1. Mostly behavioral questions
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