BSI Group Interview Questions and Answers

Q1. Technical questions
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Q2. Technical Case Study
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Q1. Advanced technical questions
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Q2. Various technology questions and scenarios
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Q1. Design a questionnaire, Process related question on project management, questions around conflicts within a team, DP related questions
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Q2. Some questions were outright dumb. The interviewer was trying to prove his point with some silly responses.
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Q1. Quality measurement
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Q1. Quality measurement quantity
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Q2. Coal sample collection preparation
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Q3. Coaling coadring
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Q4. Preparation of coal
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Preparation of coal involves several steps to remove impurities and improve its quality.
• Coal is first mined from underground or surface mines.

• It is then transported to a coal preparation plant.

• At the plant, coal is crushed, washed, and sorted into different sizes.

• Impurities like rocks, dirt, and sulfur are removed through various processes.

• The cleaned coal is then stored and transported to power plants or other users.
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Q5. Coal coling coadring
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Q6. Coal the grading & GCV Average variable
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Q7. Source of coal good information
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There are various sources of coal, including mines, coal seams, and coal deposits.
• Coal can be sourced from underground mines, where miners extract coal from the earth.

• Coal can also be sourced from open-pit mines, where large machinery is used to remove coal from the surface.

• Coal seams, which are layers of coal within rock formations, can be another source of coal.

• Coal deposits, which are accumulations of coal in specif...read more
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Q1. More into Manual and Automation Qustions
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Q1. Manual and Automation related Question and Preview Work Experience
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Q1. Preview project related questions
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It was a basic aptitude test. Easy to solve for everyone. Basic aptitude questions can be practiced online

Q1. Questions about past experience, projects
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Q2. How are you fit for the company
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Q3. Guestimates was given on consumption in india
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Case study was given to solve and was asked to submit a ppt

Q1. Weakness and strengths
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Q1. Project explanation, tell me about yourself
Ans. 
I am a data scientist with experience in machine learning and data analysis.
• I have worked on projects involving predictive modeling, natural language processing, and computer vision.

• I am proficient in programming languages such as Python and R, and have experience with tools like TensorFlow and Tableau.

• I have a strong background in statistics and mathematics, and am able to communicate complex ideas to both technical a
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Q1. About the company, about previous company
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Q1. Ensemble technique, difference between bagging and boosting and all their models
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Bagging and boosting are ensemble techniques used to improve model performance by combining multiple models.
• Bagging involves training multiple models on different subsets of the data and combining their predictions through averaging or voting.

• Boosting involves iteratively training models on the same data, with each subsequent model focusing on the misclassified samples of the previous model.

• Examples of bagging models i...read more
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Q2. What is random in random forest, case study question what would u suggest to increase the revenue of the store
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Q3. RFM analysis, customer segmentation, explain project written in your resume. Just go through the dataset in the detailed way like what are the columns and dependent variable etc they asked in detail.
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Q4. Tell me about ur overall professional journey
Ans. 
I have had a diverse professional journey with experience in various industries.
• Started as a software engineer at a tech startup

• Moved to a management consulting firm as a data analyst

• Transitioned to a healthcare company as a data scientist

• Currently working in a fintech company as a senior data scientist

• Have experience in machine learning, data visualization, and project management
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