Ashoka University Data Analyst Intern Interview Questions and Answers

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Q1. Introduction, Study, Background
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Q2. What if we not hire u,
Ans. 
I believe not hiring me would be a missed opportunity for both parties.
• I have a strong background in data science with relevant experience and skills.

• I am highly motivated and eager to learn and contribute to the team.

• My past projects and achievements demonstrate my ability to deliver results.

• Not hiring me could result in missing out on a valuable asset for the team.
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Q1. What is ds, ml, ai
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DS stands for Data Science, ML stands for Machine Learning, and AI stands for Artificial Intelligence.
• Data Science (DS) involves extracting insights and knowledge from data.

• Machine Learning (ML) is a subset of AI that allows systems to learn and improve from experience.

• Artificial Intelligence (AI) is the simulation of human intelligence processes by machines.

• Example: Using data science to analyze customer behavior, imp...read more
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Q2. Wht is natural language processing
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Natural language processing is a branch of artificial intelligence that focuses on the interaction between computers and humans using natural language.
• NLP involves tasks such as text classification, sentiment analysis, named entity recognition, and machine translation.

• It uses algorithms and models to analyze and understand human language, enabling computers to process, interpret, and generate text.

• Examples of NLP appli...read more
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Q1. Tell me about your self
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Q2. Share your training experience in aisect data quality analyst training
Ans. 
I received comprehensive training in data quality analysis at AISECT.
• The training covered data cleaning techniques and tools

• I learned how to identify and resolve data quality issues

• Practical exercises helped me apply the concepts learned in real-world scenarios
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Q3. What is data analyst
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A data analyst is a professional who collects, processes, and analyzes data to provide insights and support decision-making.
• Data analysts gather data from various sources

• They clean and organize the data for analysis

• They use statistical techniques and software to analyze the data

• They interpret the results and present findings to stakeholders

• Data analysts help organizations make data-driven decisions
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Q4. Why should we hire you
Ans. 
I have a strong background in data analysis, excellent problem-solving skills, and a passion for learning and growing in the field.
• I have a Bachelor's degree in Statistics with coursework in data analysis techniques

• I have experience using tools such as Python, SQL, and Tableau to analyze and visualize data

• I have completed internships where I successfully analyzed and presented data-driven insights to improve business s
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Q5. Explain your project
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