Wipro Analyst Interview Questions and Answers

Q1. Previous work profile
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Q2. Work experience
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Q1. Basics of investment banking, capital market
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Q1. Core java, python and SQL
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Q2. Behavioral question
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Check your communication Skills

Language check and understanding

Q1. Tell me about your self
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I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
• I have a Bachelor's degree in Statistics and have completed multiple data analysis projects during my studies.

• I am proficient in using statistical software such as R and Python for data analysis.

• I have experience in conducting market research and creating reports to support business decisions.

• I am a strong communi...read more
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Q2. Why you are looking for this job
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I am looking for this job because of my passion for data analysis and desire to contribute to a dynamic team.
• Passion for data analysis

• Desire to contribute to a dynamic team

• Opportunity for growth and development

• Interest in the industry/sector
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Q1. About AMLpolicies and procedures
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Q2. KYC policy and procedure and ral time scenario
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KYC policy and procedure involves verifying the identity of customers to prevent fraud and money laundering.
• KYC policies require collecting customer information such as ID, address, and financial history.

• Procedures include verifying documents, conducting risk assessments, and monitoring transactions.

• Real-time scenario could involve flagging suspicious activity or updating customer records instantly.

• Examples: verifying ...read more
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Q1. Why is data important to every device?
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Data is crucial for devices as it drives functionality, enhances user experience, and enables informed decision-making.
• Functionality: Devices rely on data to perform tasks, such as smartphones using location data for navigation.

• User Experience: Smart home devices use data to learn user preferences, adjusting settings for comfort and efficiency.

• Informed Decision-Making: Wearable health devices collect data to provide in...read more
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Q2. Best uses for data?
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Data can drive insights, improve decision-making, and enhance operational efficiency across various sectors.
• Identifying trends: Analyzing sales data to forecast future demand.

• Improving customer experience: Using feedback data to enhance product features.

• Optimizing operations: Leveraging supply chain data to reduce costs.

• Risk management: Utilizing financial data to assess investment risks.

• Personalization: Analyzing user...read more
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Q3. How many types of data?
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Data can be categorized into various types, including qualitative, quantitative, structured, unstructured, and more.
• Qualitative Data: Descriptive data, e.g., colors, names, or opinions.

• Quantitative Data: Numerical data, e.g., height, weight, or age.

• Structured Data: Organized data, e.g., databases with rows and columns.

• Unstructured Data: Unorganized data, e.g., emails, videos, or social media posts.

• Time-Series Data: Dat...read more
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Q4. Who is author of data?
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The author of the data refers to the individual or organization that created or collected the data.
• Data authorship can include researchers, institutions, or companies.

• For example, a scientific study may list authors who conducted the research.

• Government agencies often publish data with their name as the author, like the CDC for health statistics.

• In academic papers, the authors are typically the researchers who contribu...read more
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Q5. Which type of data used in space center to communication?
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Space centers use various data types for communication, including telemetry, command, and scientific data.
• Telemetry data: Monitors spacecraft systems and health (e.g., temperature, pressure).

• Command data: Instructions sent to spacecraft for operations (e.g., adjusting trajectory).

• Scientific data: Information collected from experiments or observations (e.g., images from Mars rovers).

• Real-time data: Used for immediate co...read more
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