State Farm Data Engineer 1 Interview Questions and Answers

IT WAS Difficult and i gave up

Q1. Linked list search binary
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Q2. Array search and traverse
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First round will be aptitude test

Q1. Why should I hire you
Ans. 
I have a strong analytical background, excellent problem-solving skills, and a proven track record of delivering actionable insights.
• I have a degree in data analytics and relevant work experience

• I am proficient in statistical analysis and data visualization tools such as Python, R, and Tableau

• I have successfully completed projects where I identified trends and patterns in data to drive business decisions
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Q2. Tell me about your self
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Q1. Salary expectation
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Q2. Position of the candidate
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Q1. Tell me about you experience as a data engineer
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Q2. In depth technical discussion about projects
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I was a test in our college of about 45min revolving around aptitude.

Few basic coding questions.

Q1. About linear and logistic regression
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Q2. About svm and kernels
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Q1. What is data analyst
Ans. 
A data analyst is a professional who collects, processes, and analyzes data to provide insights and support decision-making.
• Collects data from various sources

• Cleans and processes data to ensure accuracy

• Analyzes data using statistical methods and tools

• Interprets data to identify trends and patterns

• Presents findings and recommendations to stakeholders
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Q2. Asked question regarding project mention
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1 python and 1 SQL coding along with ML questions mostly related to monitoring and basic ML

1 python code and also related to ML ...the recruiter came with a dataset to solve

Guestimates, project discussions and Case Studies

Project indepth discussion and case study related Fraud Detection

Q1. Aligning own interest with team requirement
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Q1. Sas proc format
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Q2. How have you debug macros
Ans. 
I have debugged macros by reviewing code, checking for errors, using print statements, and stepping through code.
• Reviewing the macro code line by line to identify any syntax errors or logical mistakes

• Using print statements to output variable values and check for unexpected results

• Stepping through the code using a debugger tool to track the flow of execution and pinpoint issues

• Testing the macro with different inputs to
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Q3. How big data handled by you
Ans. 
I handle big data by using advanced analytics tools and techniques to extract valuable insights.
• Utilize data visualization tools like Tableau or Power BI to analyze and present data

• Use programming languages like Python or R for data manipulation and statistical analysis

• Implement machine learning algorithms to uncover patterns and trends in large datasets

• Leverage cloud computing platforms like AWS or Google Cloud for sc...read more
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Q1. Automation done
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