Bajaj Finance Data Analyst Interview Questions and Answers

Q1. Asked about the projects from the resume. It was based on Python. The project was stock prediction using ml. They mainly asked about the concepts used. And they also asked the equations related to data sci...read more
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Q1. I didn't qualified for this round
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Asked questions of finance and aptitude

Q1. What is machine learning?
Ans. 
Machine learning is a branch of artificial intelligence that involves developing algorithms and models that enable computers to learn from and make predictions or decisions based on data.
• Machine learning is a subset of artificial intelligence that focuses on developing algorithms that can learn from and make predictions or decisions based on data.

• It involves training models on large datasets to recognize patterns and m...read more
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Q2. What do you know about SQL?
Ans. 
SQL is a programming language used for managing and manipulating relational databases.
• SQL stands for Structured Query Language

• It is used to retrieve and manipulate data in relational databases

• Common SQL commands include SELECT, INSERT, UPDATE, DELETE

• SQL can be used to create tables, indexes, and views

• Examples of SQL databases include MySQL, PostgreSQL, Oracle
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Q3. What you know about software Development?
Ans. 
Software development involves creating, designing, testing, and maintaining software applications.
• Software development includes coding, testing, debugging, and documenting software applications.

• Developers use programming languages like Java, Python, C++, etc. to write code.

• Agile and Waterfall are common software development methodologies.

• Version control systems like Git are used to manage code changes.

• Software developm...read more
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Q1. What are the algorithms you know in machine learning and their details ?
Ans. 
Various machine learning algorithms with brief details
• Supervised Learning: Linear Regression, Logistic Regression, Support Vector Machines (SVM), Decision Trees, Random Forest

• Unsupervised Learning: K-means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA)

• Reinforcement Learning: Q-Learning, Deep Q-Networks (DQN)

• Neural Networks: Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), L
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Q2. Python questions
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1 hour coding test on intermediate python programming

Q1. It was more related to my projects
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Q2. Asked questions on PCA,KNN and Elbow method .
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Q1. Asked SVM and Logistic regression, their applications and real life uses
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Q2. Matrix formation of a knockout Tournament
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Basic apt questions. Can easily practice online

Q1. Few hypothetical questions to check your analysis knowledge
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Q2. How much flowers were to be accumulated at the end of the day if each person offered 5 flowers a day at the temple.
Ans. 
The total number of flowers accumulated at the end of the day can be calculated by multiplying the number of people by the number of flowers each person offers.
• Multiply the number of people by 5 to get the total number of flowers accumulated

• For example, if there are 10 people, the total number of flowers accumulated would be 10 * 5 = 50
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Python, sql was asked