Futurism Technologies Market Research Analyst Interview Questions and Answers

Q1. Self Introduction
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Q2. Salary Expectation
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Q1. 14 questions in excel formulas
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Q1. Tell about yourself
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I am a data analyst with a background in statistics and programming, passionate about turning data into actionable insights.
• Background in statistics and programming

• Experience in data analysis and visualization tools like Python, R, and Tableau

• Strong problem-solving skills and attention to detail

• Ability to communicate complex data findings to non-technical stakeholders
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Q2. Rate yourself in sql
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Q1. Who are you?
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Q2. What do you do earlier because we don't know?
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As a Data Analyst, I gather, process, and analyze data to provide actionable insights that drive business decisions.
• Data Collection: I gather data from various sources, such as databases, APIs, and spreadsheets, ensuring data quality and relevance.

• Data Cleaning: I preprocess data to remove inaccuracies and inconsistencies, using tools like Python or Excel to ensure reliable analysis.

• Data Analysis: I apply statistical m...read more
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Object Detection on a subset of COCO dataset having Cars and Person classes

Q1. Technical discussion on Machine Learning, Deep Learning Concepts and coding round.
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Q1. Technical discussion on Deep Learning and Computer Vision.
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Basic aptitude question

Q1. Basic analysis and ML questions , more focused on approach instead of coding
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Q1. As like other HR rounds
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Q1. How do you narrate a story using data, and what specific factors do you prioritize during this process?
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Data storytelling involves transforming data insights into a compelling narrative to drive understanding and action.
• Identify the audience: Tailor the narrative to the knowledge level and interests of the audience, e.g., technical vs. non-technical stakeholders.

• Define the key message: Focus on the main takeaway you want the audience to remember, such as the impact of a marketing campaign on sales.

• Use visuals effectively...read more
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Q2. How proficient are you in using Python for data science, and can you provide specific examples of your experience?
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Q1. Reverse a string in list
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Reverse a string in a list of strings
• Iterate through each string in the list

• Use the built-in function to reverse each string

• Store the reversed strings in a new list
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Q2. Explain joins in sql
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Joins in SQL are used to combine rows from two or more tables based on a related column between them.
• Joins are used to retrieve data from multiple tables based on a related column

• Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

• Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column
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