abCoffee Interview Questions and Answers

Q1. Previous work experience
Ans. 
I have 3 years of experience as a Data Analyst in a tech company.
• Analyzed large datasets to identify trends and patterns

• Created visualizations and reports to communicate findings to stakeholders

• Utilized SQL, Python, and Tableau for data analysis
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Q2. Previous Projects done
Ans. 
Developed predictive models for customer churn and sales forecasting using Python and SQL.
• Utilized Python and SQL for data analysis

• Developed predictive models for customer churn

• Performed sales forecasting

• Presented findings to stakeholders
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SQL and Python, 5 sql queries and 5 python questions were asked

Q1. Tell me about yourself.
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Q2. What are ur salary expectations
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Q3. What is ur family backroung
Ans. 
My family background is diverse and multicultural.
• My parents are from different countries and cultures.

• I grew up speaking multiple languages at home.

• My family values education and hard work.

• I have siblings who are also pursuing careers in technology.
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Q4. Why should we hire u
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Q1. Tell me the best coffee maker
Ans. 
The best coffee maker is the Breville BES870XL Barista Express Espresso Machine.
• Consider the type of coffee you prefer (espresso, drip, etc.)

• Look for features like programmable settings, built-in grinder, and milk frother

• Read reviews and compare prices before making a decision
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Q2. Starbucks is the best coffee maker
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Do you think social media is a good platform?

Q1. One of the worst company don't go for interview.
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Q1. No technical only cleaning cleaning we are not a employees we are labour's
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Q1. There is nothing only cleening 😞
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Hackerrank - SQL and Statistics

How to make a regression model

Q1. What was the definition of false positive and false negative
Ans. 
False positive and false negative are terms used in data analysis to describe errors in classification models.
• False positive refers to a situation where a test result incorrectly indicates the presence of a condition or attribute.

• False negative refers to a situation where a test result incorrectly indicates the absence of a condition or attribute.

• In medical field, false positive can occur when a healthy person is wrong...read more
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