Pfizer Interview Questions, Process, and Tips

Q1. Ml algos description
Ans. 
Machine learning algorithms are mathematical models used to analyze data and make predictions.
• ML algorithms learn from data to make predictions or decisions

• They can be supervised, unsupervised, or semi-supervised

• Examples include linear regression, decision trees, support vector machines
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Q2. Clustering techniques
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Core values, Experience, Behavorial

Q1. What makes you the best among
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Q2. How would you manage your team in worst situation
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Q1. How would you achieve target
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Q2. How would you plan the region wise budget
Ans. 
I would plan the region wise budget by analyzing past sales data, setting clear goals, considering market trends, and collaborating with regional teams.
• Analyze past sales data to understand performance in each region

• Set clear and achievable sales goals for each region

• Consider market trends and competition in each region

• Collaborate with regional sales teams to gather insights and input

• Allocate budget based on potential
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Q1. Why did you choose to work at Pfizer?
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Q1. Tell me about your project
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Time management and organization skills

Q1. Technical interview took place, territory knowledge, past companies experience customer relationship test.
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Group discussions with BU Lead different case presentations and situation handling

Multiple choice questions

Q1. Scenario based questions
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Q1. Salary discussion
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