Origo Commodities MIS Officer Interview Questions and Answers

General knowledge test about field

Q1. How will you contribute to organisation
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Q1. What is pandas?
Ans. 
pandas is a Python library used for data manipulation and analysis.
• pandas provides data structures like DataFrame and Series for working with structured data

• It offers tools for cleaning, transforming, and analyzing data

• pandas can handle various data formats like CSV, Excel, SQL databases, and more
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Q2. While webscraping, do HTML tables also get extracted?
Ans. 
Yes, HTML tables can be extracted while webscraping.
• HTML tables can be extracted using libraries like BeautifulSoup in Python.

• The data from the HTML tables can be converted into a structured format like CSV or Excel.

• Webscraping tools like Octoparse and Import.io can also extract HTML tables.

• Regular expressions can be used to extract specific data from HTML tables.
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Q1. Explain logistic regression
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Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
• Logistic regression is a type of regression analysis used when the dependent variable is categorical or binary.

• It estimates the probability of the outcome using a logistic function.

• The model calculates the odds of the outcome and transforms them into probabilities.

• It uses a logit link ...read more
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Q1. About past experiences, How going to support present job role, Goals, targets Vs achievements. cost controls, work style, staff works controls, maintenance controls.
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Past company achievements, Present how you are suitable for this job, what we will expect in this company.

Q1. How do you handle team management?
Ans. 
I handle team management by setting clear goals, providing support and guidance, fostering open communication, and recognizing achievements.
• Set clear goals and expectations for team members

• Provide support and guidance to help team members succeed

• Foster open communication to encourage collaboration and problem-solving

• Recognize and reward team achievements to boost morale
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Q2. Working day handle team
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All team members attach each other members
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Q3. Management team
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Complete statistics and hard working team
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Q1. We prepare all work
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Q2. No
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Past worked details, How i am suitable the right job. and How they may utilize my past experiences.

Q1. Only technical discussion
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Q1. Only technical discussion on data models, AWS and sparks
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Q1. Technical computer Excel
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