Bajaj Finserv Senior Technical Specialist Interview Questions and Answers

Maths, english reasoning

Maths, reasoning and english

Topic- should political funding be made public? time-10 mins

Reasoning
Quantitative aptitude
English

Q1. What's your name Choice of posting
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Q2. Hyderabad Obviously as it is a metro city
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Q1. Are you sure I am fit for job
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Q2. If so I am ready for any job
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Q3. Where I have to work in Bangalore
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Q4. Shall I get any opertunity
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Q5. If so give me a job
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Q1. Basic questions on Java and springboot
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Case study type question on handling millions of data

Q1. Salary discussion
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Q1. Time series methods and details
Ans. 
Time series methods involve analyzing data points collected at regular intervals over time to identify patterns and trends.
• Time series analysis involves studying the past behavior of a variable to forecast its future values.

• Common methods include moving averages, exponential smoothing, and autoregressive integrated moving average (ARIMA) models.

• Time series data can be used in various fields such as finance, economics,
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Q1. Bias variance tradeoff in different tree based algos
Ans. 
Bias-variance tradeoff is a key concept in tree-based algorithms, balancing model complexity and generalization ability.
• Bias-variance tradeoff refers to the tradeoff between bias (underfitting) and variance (overfitting) in machine learning models.

• Decision trees have high variance and low bias, while ensemble methods like Random Forest have lower variance and higher bias.

• Regularization techniques like pruning can help ...read more
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Q1. Time series methods and details
Ans. 
Time series methods involve analyzing and forecasting data points collected at regular intervals over time.
• Time series analysis involves studying patterns, trends, and seasonality in data over time.

• Common methods include moving averages, exponential smoothing, and ARIMA models.

• Forecasting techniques such as Holt-Winters method and machine learning algorithms can be used for prediction.

• Time series data can be visualized...read more
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Q1. Bias variance tradeoff in different tree based algos
Ans. 
Bias-variance tradeoff is a key concept in machine learning, especially in tree-based algorithms.
• Bias-variance tradeoff refers to the balance between underfitting (high bias) and overfitting (high variance) in a model.

• Decision trees tend to have high variance and low bias, while ensemble methods like Random Forest aim to reduce variance.

• Regularization techniques like pruning can help reduce overfitting in tree-based al...read more
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Q1. Scenario Based questions from Leetcode medium difficulty from SQL.
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