Fortis Healthcare Data Entry Operator Interview Questions and Answers

Q1. General questions about your work experience
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Q2. General interaction with Chairman
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Q1. Long-term plans
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Q2. Joining date and compensation
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Q1. What are your salary expectations?
Ans. 
I expect a competitive salary that reflects my skills and experience, ideally in the range of $60,000 to $70,000 annually.
• Research industry standards: For example, similar roles in our region typically offer between $60,000 and $70,000.

• Consider my experience: With over 5 years in management, I bring valuable skills that justify a higher salary.

• Flexibility: I am open to discussing a compensation package that includes be...read more
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Q2. Why are you looking for a change?
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Q3. Tell me about yourself.
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Q1. Tell me about your self
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I am a detail-oriented individual with strong data entry skills and a passion for accuracy.
• Experienced in data entry tasks such as inputting information into databases

• Proficient in using Microsoft Excel and other data entry software

• Strong attention to detail and ability to maintain accuracy in high-volume data entry tasks
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Q2. Why we should hair you
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Q1. Tell me about your self
Ans. 
I am a detail-oriented individual with strong data entry skills and a passion for accuracy.
• Experienced in data entry tasks such as inputting information into databases

• Proficient in using Microsoft Excel and other data entry software

• Strong attention to detail and accuracy in data entry work

• Ability to work efficiently under pressure and meet deadlines
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Q2. Why we should hire you
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I am detail-oriented, efficient, and have a strong background in data entry.
• I have a proven track record of accurately entering data in a timely manner.

• I am proficient in using data entry software and have a fast typing speed.

• I have excellent attention to detail and can spot errors quickly to ensure data accuracy.
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Q1. Hr questions about my background with company
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Q2. About my technical skills
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Q1. How do you do pruning
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Pruning is a technique used in machine learning to reduce the size of decision trees by removing unnecessary branches.
• Pruning helps prevent overfitting by simplifying the model

• There are two main types of pruning: pre-pruning and post-pruning

• Pre-pruning involves setting a limit on the depth of the tree or the number of leaf nodes

• Post-pruning involves removing branches that do not improve the overall accuracy of the tree

• ...read more
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Q1. Ondem md 4 mg
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Q2. Schedule H1 medicine
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Q3. Monocef 1 gm
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Coding test to screen developer skills

Arithmetic,data interpretation, verbal ability, verbal test, logical

Comprehensive technique to judge the suitability of an individual and his appropriateness for admission & scholarship

A job type of work that you are given to do