Tiger Analytics Interview Questions, Process, and Tips

Easy-medium maths coding questions

Q1. SQL problem to be solved using Pandas
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Q2. Project Overview of my previous company
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Q3. Easy Coding question
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Q4. ML algorithm overview of what I have used in my projects
Ans. 
I have used various ML algorithms such as linear regression, decision trees, random forests, and neural networks in my projects.
• Linear regression for predicting continuous values

• Decision trees for classification and regression tasks

• Random forests for ensemble learning and improved accuracy

• Neural networks for complex pattern recognition
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Q1. Basic sql python azure
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Q1. Medium azure sql python
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Q1. Expectated salary, work culture
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Q1. Basic Deep Learning theory questions
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Q2. What is word embedding and explain it's significance?
Ans. 
Word embedding is a technique to represent words as vectors in a high-dimensional space.
• Word embedding captures the semantic meaning of words and their relationships.

• It is used in natural language processing tasks such as text classification, sentiment analysis, and machine translation.

• Popular word embedding models include Word2Vec, GloVe, and FastText.

• Word embedding can be pre-trained on large corpora or trained on sp...read more
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How would design aspect based sentiment analysis system?

Q1. Explain anyone of the NLP projects you worked on?
Ans. 
Developed a sentiment analysis model for social media data.
• Collected and preprocessed social media data from various platforms.

• Used natural language processing techniques to extract features from the text data.

• Built a machine learning model to classify the sentiment of the text (positive, negative, neutral).

• Evaluated the model's performance using metrics like accuracy, precision, and recall.

• Deployed the model as an API...read more
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The first round was a mcq test based on aptitude and statstics

2nd round was a coding round. Three questions were given . Two were easy and one was medium

Q1. Two leetcode easy level questions
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Q2. One leetcode medium level question
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Interview was based on spark... initially basics of spark, optimisation followed by coding round like apply filter, read from multi delimiter, joins, de-duplication

Q1. Brief about project and management ethics
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Q2. Introduction, policies and salary discussion
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