Evalueserve Analyst II Interview Questions and Answers for Freshers

Q1. Tableau interview questioins
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Q2. SQl based quetions
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Normal aptitude round

Q1. Some technical questions and introduction.
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Apti easy test. anyone can pass

Q1. Basic sql and excel questions
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Q1. Hr round with no salary negotiation
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General aptitude test

Q1. Second round was technical round
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Q1. In this round some coding questions and logical questions was asked
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General knowledge

English knowledge

Q1. Self and technical
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Q1. Describe your current role
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Case study on ecommerce system

Case study on path lab

Q1. Your inputs on women rights
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Q1. How do you resolve conflicts
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Q1. Steps of Data Analytics
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Data analytics involves collecting, cleaning, analyzing, and interpreting data to gain insights and make informed decisions.
• Collecting data from various sources

• Cleaning and preprocessing the data to ensure accuracy

• Analyzing the data using statistical methods and machine learning algorithms

• Interpreting the results to draw meaningful insights

• Visualizing the data through charts, graphs, and dashboards

• Applying findings to
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Q2. Excel and Advanced Excel functions. Example, Lookups, Pivots etc.
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Q3. Data Visualization Concepts.
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Q1. Role of Business Analytics in Supply Chain Industry.
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Business Analytics plays a crucial role in optimizing supply chain operations by providing insights for better decision-making.
• Helps in demand forecasting to optimize inventory levels

• Identifies inefficiencies in the supply chain for cost reduction

• Improves supplier performance through data-driven insights

• Enhances overall supply chain visibility and transparency

• Enables real-time tracking and monitoring of shipments
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Q2. Case Study for Supply Chain
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Q1. What you know about ai
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AI stands for Artificial Intelligence, which is the simulation of human intelligence in machines.
• AI involves the development of computer systems that can perform tasks that would typically require human intelligence.

• It encompasses various subfields such as machine learning, natural language processing, and computer vision.

• AI is used in various applications like virtual assistants, autonomous vehicles, and recommendatio...read more
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Q2. What is data annotation
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Data annotation is the process of labeling or tagging data to make it understandable and usable for machine learning algorithms.
• Data annotation involves adding metadata or annotations to data.

• It helps in training machine learning models by providing labeled examples.

• Common types of data annotation include image labeling, text tagging, and audio transcription.

• Data annotation can be done manually by human annotators or t...read more
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