Bharat Insecticides Interview Questions and Answers

Q1. What do you work in your previous company
Ans. 
I worked as a Sales Manager in charge of leading a team, developing sales strategies, and meeting sales targets.
• Led a team of sales representatives to achieve sales goals

• Developed and implemented sales strategies to increase revenue

• Analyzed market trends and competitor activities to identify opportunities

• Maintained relationships with key clients and negotiated contracts

• Prepared sales reports and presented to senior man
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Q2. Your strength and weekness and your sallery expectations
Ans. 
Strengths include strong communication and negotiation skills. Weakness is sometimes being too detail-oriented. Salary expectations are competitive based on experience.
• Strengths: strong communication skills, negotiation skills

• Weakness: detail-oriented

• Salary expectations: competitive based on experience
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Q3. What about youu
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Q4. Your experience and qualification
Ans. 
I have 5 years of experience in sales with a Bachelor's degree in Business Administration.
• 5 years of sales experience

• Bachelor's degree in Business Administration

• Strong track record of meeting and exceeding sales targets

• Experience in developing and maintaining client relationships

• Proficient in sales techniques and strategies
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Q1. General question reviewing resume
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Q1. Fitment in the LIFE based value. You can undrstand more from the HR during 2nd round of discussion
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Q1. 1. Basic questions on Instrumentation 2. Selection of MOC 3. Hazardous area classification 4. Improvements in Process safety through automation 5. Size of projects and team handled 6. Resource management
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Q1. This round was with Site head. He basically asked questions related to MOC selection and HAC
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Q1. This round was with VP Manufacturing. He asked questions related to SIL classification & application, Improvements I have done in Process safety areas and IIoT projects
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Q1. Manpower management, Skill development of team, Crisis management
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General knowledge test about field

Q1. How will you contribute to organisation
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Q1. How spring boot works internally?
Ans. 
Spring Boot is a framework that simplifies the development of Java applications by providing pre-configured settings and dependencies.
• Spring Boot uses an embedded Tomcat server to run the application.

• It provides auto-configuration for commonly used libraries and frameworks.

• Spring Boot uses Spring Framework's Inversion of Control (IoC) to manage dependencies.

• It also includes Spring Boot Actuator for monitoring and manag...read more
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Q2. What is Streaming api in java8?
Ans. 
Streaming API in Java 8 is a feature that allows processing of large data sets in a functional and efficient manner.
• Stream API provides a set of functional interfaces and methods to process data in a declarative way

• It supports parallel processing of data

• It can be used with collections, arrays, and I/O operations

• Example: List names = Arrays.asList("John", "Mary", "Bob"); long count = names.stream().filter(name -> name.s...read more
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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
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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