Stellantis Data Analyst Interview Questions and Answers

Q1. Explain the experience in data
Ans. 
I have over 5 years of experience in data analysis, including working with large datasets, creating visualizations, and providing actionable insights.
• Experience in cleaning and transforming data to ensure accuracy and consistency

• Proficient in using statistical tools and techniques to analyze data

• Ability to create data visualizations and dashboards to communicate findings

• Experience in identifying trends and patterns in ...read more
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Q2. Explain the courses done in data analyst
Ans. 
Courses in data analyst cover topics such as statistics, data visualization, machine learning, and data mining.
• Statistics: Understanding of statistical concepts and techniques for data analysis.

• Data Visualization: Creating visual representations of data to aid in analysis and decision-making.

• Machine Learning: Using algorithms and models to analyze and make predictions based on data.

• Data Mining: Extracting patterns and ...read more
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Q1. Based on my resume and my previous company and Statistics
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Q1. Related to Statistics
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Q1. Salary negotiation.
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Q1. Tell about yourself
Ans. 
I am a data analyst with a strong background in statistics and data visualization.
• Graduated with a degree in Statistics

• Proficient in programming languages like Python and R

• Experience in analyzing large datasets and creating data visualizations

• Strong problem-solving skills
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Q2. What are the steps you do for Data cleaning
Ans. 
Data cleaning involves removing or correcting errors in a dataset to ensure accuracy and consistency.
• Remove duplicate entries

• Fill in missing values

• Correct formatting errors

• Identify and remove outliers

• Standardize data types
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Aptitude and coding test after resume shortlist.

1hour coding test after aptitude test

Q1. Tell me about yourself
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Q2. Tell me about your family
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Q3. What is your professional experience?
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Q1. About college Project
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Q2. Sql basic questions
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About Data in SQL , syntax

The test was psychometric and aptitude. Interview was easy.

Q1. What are your views on Generative AI.
Ans. 
Generative AI is a powerful technology that can create new content based on existing data.
• Generative AI uses neural networks to generate new content such as images, text, and music.

• It has applications in various fields like art, music composition, and even creating realistic deepfake videos.

• Examples include OpenAI's GPT-3 for text generation and DeepDream for image generation.
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