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C5i Interview Questions, Process, and Tips

Updated 25 Feb 2025

Top C5i Interview Questions and Answers

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C5i Interview Experiences

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45 interviews found

Interview Questionnaire 

1 Question

  • Q1. About clinical trails, regulatory bodies, recently approved drugs

Interview Preparation Tips

Interview preparation tips for other job seekers - be confident and should have deep knowledge of your domain

Business Analyst Interview Questions asked at other Companies

Q1. You have 10 boxes of balls (each ball weighing exactly10 gm) with one box with defective balls (each one of the defective balls weigh 9 gm). You are given an electronic weighing machine and only one chance at it. How will you find out which... read more
View answer (9)

I applied via Naukri.com and was interviewed in May 2021. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Asked about drug approval process in different regions, US, EU esp. Different kind of drug statuses. Was given a case study for pipeline analysis on a therapy area and find out the main competitors. News s...

Assistant Manager Interview Questions asked at other Companies

Q1. You are Handling cash operations then how you manage operations with sales ?
View answer (87)

Business Analyst Interview Questions & Answers

user image Aditya Pillai

posted on 23 May 2021

Interview Questionnaire 

2 Questions

  • Q1. Tell me about yourself
  • Q2. Summarize CV
  • Ans. 

    Experienced Business Analyst with expertise in data analysis, process improvement, and project management.

    • 5+ years of experience in business analysis

    • Proficient in SQL and data visualization tools

    • Led successful projects resulting in cost savings and increased efficiency

    • Collaborated with cross-functional teams to identify and implement process improvements

    • Strong communication and presentation skills

  • Answered by AI

Business Analyst Interview Questions asked at other Companies

Q1. You have 10 boxes of balls (each ball weighing exactly10 gm) with one box with defective balls (each one of the defective balls weigh 9 gm). You are given an electronic weighing machine and only one chance at it. How will you find out which... read more
View answer (9)

Data Scientist Interview Questions & Answers

user image rustam garg

posted on 4 May 2019

I applied via Recruitment Consultant and was interviewed in Dec 2018. There were 3 interview rounds.

Interview Questionnaire 

11 Questions

  • Q1. 1. Why Machine Learning?
  • Ans. 

    Machine learning enables computers to learn from data and make predictions or decisions without being explicitly programmed.

    • Machine learning can automate and optimize complex processes

    • It can help identify patterns and insights in large datasets

    • It can improve accuracy and efficiency in decision-making

    • Examples include image recognition, natural language processing, and predictive analytics

    • It can also be used for anomaly

  • Answered by AI
  • Q2. 2. Why did you choose Data Science Field?
  • Ans. 

    I chose Data Science field because of its potential to solve complex problems and make a positive impact on society.

    • Fascination with data and its potential to drive insights

    • Desire to solve complex problems and make a positive impact on society

    • Opportunity to work with cutting-edge technology and tools

    • Ability to work in a variety of industries and domains

    • Examples: Predictive maintenance in manufacturing, fraud detection

  • Answered by AI
  • Q3. 3. What about Linear Regression? (Theory Part)
  • Q4. 4. What is the difference between Linear Regression and Logistic Regression?
  • Ans. 

    Linear Regression is used for predicting continuous numerical values, while Logistic Regression is used for predicting binary categorical values.

    • Linear Regression predicts a continuous output, while Logistic Regression predicts a binary output.

    • Linear Regression uses a linear equation to model the relationship between the independent and dependent variables, while Logistic Regression uses a logistic function.

    • Linear Regr...

  • Answered by AI
  • Q5. 5. Explain Confusion Matrix?
  • Ans. 

    Confusion matrix is a table used to evaluate the performance of a classification model.

    • It is a 2x2 matrix that shows the number of true positives, false positives, true negatives, and false negatives.

    • It helps in calculating various metrics like accuracy, precision, recall, and F1 score.

    • It is useful in identifying the strengths and weaknesses of a model and improving its performance.

    • Example: In a binary classification p...

  • Answered by AI
  • Q6. 6. Can we use confusion matrix in Linear Regression?
  • Ans. 

    No, confusion matrix is not used in Linear Regression.

    • Confusion matrix is used to evaluate classification models.

    • Linear Regression is a regression model, not a classification model.

    • Evaluation metrics for Linear Regression include R-squared, Mean Squared Error, etc.

  • Answered by AI
  • Q7. 7. Explain KNN Algorithm?
  • Ans. 

    KNN is a non-parametric algorithm used for classification and regression tasks.

    • KNN stands for K-Nearest Neighbors.

    • It works by finding the K closest data points to a given test point.

    • The class or value of the test point is then determined by the majority class or average value of the K neighbors.

    • KNN can be used for both classification and regression tasks.

    • It is a simple and easy-to-understand algorithm, but can be compu

  • Answered by AI
  • Q8. 8. Explain Random Forest and Decision Tree?
  • Ans. 

    Random Forest is an ensemble learning method that builds multiple decision trees and combines their outputs to improve accuracy.

    • Random Forest is a type of supervised learning algorithm used for classification and regression tasks.

    • It creates multiple decision trees and combines their outputs to make a final prediction.

    • Each decision tree is built using a random subset of features and data points to reduce overfitting.

    • Ran...

  • Answered by AI
  • Q9. 9. One Tricky Mathematical Question !
  • Q10. 10. What are the Projects you have done?
  • Ans. 

    I have worked on various projects involving data analysis, machine learning, and predictive modeling.

    • Developed a predictive model to forecast customer churn for a telecommunications company.

    • Built a recommendation system using collaborative filtering for an e-commerce platform.

    • Performed sentiment analysis on social media data to understand customer opinions and preferences.

    • Implemented a fraud detection system using anom...

  • Answered by AI
  • Q11. I didn't get shortlisted for 2nd Round.

Interview Preparation Tips

General Tips: anyone who wants to go in data science field should actually be interested in the field not the money. They should be good in Statistics, Probability and Theory part of ML algorithms.
They will ask you about the projects you have mentioned in resume and all the questions will be from that part.
Skills: Communication, Body Language, Problem Solving, Analytical Skills
Duration: 1-4 weeks

Skills evaluated in this interview

Top C5i Data Scientist Interview Questions and Answers

Q1. 4. What is the difference between Linear Regression and Logistic Regression?
View answer (2)

Data Scientist Interview Questions asked at other Companies

Q1. Special Sum of Array Problem Statement Given an array 'arr' containing single-digit integers, your task is to calculate the total sum of all its elements. However, the resulting sum must also be a single-digit number. To achieve this, repea... read more
Add answer

C5i interview questions for popular designations

 Analyst

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 Associate Manager

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 Data Scientist

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 Junior Analyst

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 Business Analyst

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 Data Analyst

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 Junior Data Analyst

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Analyst Interview Questions & Answers

user image Anonymous

posted on 22 Jan 2015

Interview Questionnaire 

3 Questions

  • Q1. Telephonic Interview
  • Q2. Present scenario of Indian cricket team and using stochastic to eliminate the worst and preserve the best
  • Ans. 

    Using stochastic to analyze Indian cricket team's current scenario and eliminate worst while preserving best.

    • Stochastic analysis can help identify the strengths and weaknesses of individual players and the team as a whole

    • It can also help in predicting the outcome of future matches based on past performance

    • Eliminating the worst performers and preserving the best can help improve the team's overall performance

    • For example...

  • Answered by AI
  • Q3. General HR Questions

Interview Preparation Tips

Round: Test
Experience: It was purely a quant based paper. I feel a freshie can crack it better than any other, provided their fresh math skills out of iit preparation.

Round: Interview
Experience: General questions.

Round: Interview
Experience: It was handled in the telephonic interview and the topic is too good.

Round: Interview
Experience: The last round of interview was again a telephonic based, where in hardcore HR questions were tested for your convincing skills which will definitely put you on the winning side.

General Tips: Just case studies grilling over with your friends should give you enough confidence to crack any non core company.

Confidence and body language in the interview. It depends on your resume too, but mostly on the time of the interview that will decide your fate in the selection process.
Skills: Confidence , Body language in interview
College Name: IIT MADRAS
Motivation: They were looking for the position of an analyst, and looking at my profile, I had done some high funda statistical modeling, which I think was the reason i got placed in that company.

Analyst Interview Questions asked at other Companies

Q1. N-th Fibonacci Number Problem Statement Given an integer ‘N’, your task is to find and return the N’th Fibonacci number using matrix exponentiation. Since the answer can be very large, return the answer modulo 10^9 + 7. Formula: F(n) = F(n-... read more
View answer (1)

Get interview-ready with Top C5i Interview Questions

C5i Interview FAQs

How many rounds are there in C5i interview?
C5i interview process usually has 2-3 rounds. The most common rounds in the C5i interview process are Technical, Aptitude Test and HR.
How to prepare for C5i interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at C5i. The most common topics and skills that interviewers at C5i expect are Python, SQL, Machine Learning, Data Analysis and Market Research.
What are the top questions asked in C5i interview?

Some of the top questions asked at the C5i interview -

  1. 4. What is the difference between Linear Regression and Logistic Regressi...read more
  2. Consider a scenario where you want to get buy in from internal stakeholders to ...read more
  3. 2. Why did you choose Data Science Fie...read more
How long is the C5i interview process?

The duration of C5i interview process can vary, but typically it takes about less than 2 weeks to complete.

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C5i Interview Process

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based on 437 reviews

4.0/5

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4.0

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4.0

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4.0

Company culture

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AI Scientist

Bangalore / Bengaluru

5-7 Yrs

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