Privi Speciality Chemicals Production Engineer Interview Questions and Answers

Very nice interview process

Q1. Distillation and theory
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Q2. Pump operating system
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Q3. Safety Questions
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Q1. Family Background
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Q2. Behaviour and discipline
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Production engineer for cnc programming and Drawing knowledge

Q1. Job for Berger paint company
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Q2. 2 years experience
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Q1. Production department, Production Chamistra , Quantity Control Analysis
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Q2. Job in Paint Industry
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Q1. How many questions in interview
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Q1. What is your expectations
Ans. 
I expect a challenging role where I can utilize my skills and knowledge to contribute to the success of the production team.
• Expectation to work in a dynamic and fast-paced environment

• Opportunity to apply technical expertise in solving production challenges

• Desire for continuous learning and professional growth

• Collaboration with cross-functional teams to achieve production goals
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Q2. 3,50,000 is my expectations
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About production Department Knowledge

Q1. About Last company knowledge
Ans. Hello mam , I Have 2.5 Years Experience in Production Department from Hitachi Astemo Chennai Pvt Ltd. That is automobile Industry.
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Q2. What making in HITACHI ASTEMO CHENNAI PVT LTD
Ans. 
HITACHI ASTEMO CHENNAI PVT LTD is involved in manufacturing various products and providing engineering solutions.
• HITACHI ASTEMO CHENNAI PVT LTD manufactures a wide range of products such as industrial machinery, automotive components, and electronic devices.

• They provide engineering solutions for various industries including manufacturing, automotive, and electronics.

• The company focuses on innovation, quality, and custo...read more
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Q3. Why Resign Giving in Last Company
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One hour test mainly from quant

Q1. Two hours mainly questions from mass transfer
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Q1. Types of attributes
Ans. 
Attributes can be classified into two types: quantitative and qualitative.
• Quantitative attributes are numerical and can be measured, such as height or weight.

• Qualitative attributes are categorical and cannot be measured, such as color or type.

• Attributes can also be classified as discrete or continuous, depending on the type of data they represent.
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