Data Entry Data Analyst Interview Questions and Answers

Q1. What are you strength and weakness
Ans. 
Strength: Strong analytical skills, Weakness: Overthinking
• Strength: Proficient in data analysis and interpretation

• Strength: Ability to work with large datasets and complex algorithms

• Weakness: Tendency to overanalyze situations and data

• Weakness: Struggle with decision-making under pressure
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Q2. What is your career goal
Ans. 
To become a leading data scientist in the industry and make impactful contributions through data-driven insights.
• Advance my skills in machine learning, data analysis, and programming languages like Python and R

• Contribute to cutting-edge research and projects in data science

• Lead and mentor a team of data scientists to drive innovation and solve complex problems

• Collaborate with cross-functional teams to develop data-driv
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Q1. SQL, Python Basic questions
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Q2. ML project explanation
Ans. 
Developed a machine learning model to predict customer churn in a telecom company.
• Collected and cleaned customer data including usage patterns and demographics.

• Used classification algorithms like logistic regression and random forest to train the model.

• Evaluated model performance using metrics like accuracy, precision, and recall.

• Implemented the model in a production environment to monitor and predict customer churn.

• Co...read more
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Excel based interview