Biostadt Patent Executive Interview Questions and Answers

Q1. Tell us about your team structure
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Q2. Describe your role at xx company
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Q1. Explain your role in driving a D2C brand
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Q2. What was the value proposition of your previous company
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Q1. DISCUSSED ABOUT MARKET SCEENS
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Q1. Self introduction, current company job profile, salary expectations, reason for leaving current job
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Q1. Technical aspects of animal nutrition
Ans. 
Technical aspects of animal nutrition involve understanding the nutritional requirements of different animals and formulating diets accordingly.
• Understanding the different types of nutrients required by animals, such as carbohydrates, proteins, fats, vitamins, and minerals

• Knowledge of the digestive system of different animals and how it affects nutrient absorption

• Ability to formulate diets that meet the nutritional req...read more
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Q1. Business head expectations from candidate
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Business head expects the candidate to have strong leadership skills, strategic thinking, and the ability to drive results.
• Strong leadership skills

• Strategic thinking

• Ability to drive results

• Excellent communication and interpersonal skills

• Ability to manage and motivate a team

• Understanding of business operations and financial management

• Problem-solving and decision-making abilities

• Flexibility and adaptability to changing b...read more
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Q1. MD expectations from candidate
Ans. 
The MD expects the candidate to have strong leadership skills, excellent communication abilities, and a track record of achieving results.
• Strong leadership skills

• Excellent communication abilities

• Track record of achieving results
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Q1. Plant capacity,
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Q2. Manpower handling
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Q3. Packing processing
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Q4. Quality control
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Q5. Plant operations
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Q1. About Business how to trade in wheat purchase
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30 MINUTES , APPEALS AND TAXATION, AUDITING & COMPANY LAW

Q1. PTP cycle with Journal
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Q2. Journal entry of AP
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Q1. Explain logistic regression
Ans. 
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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