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I applied via Naukri.com and was interviewed in May 2021. There were 4 interview rounds.
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
I applied via Recruitment Consultant and was interviewed in Dec 2018. There were 3 interview rounds.
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
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
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...
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...
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.
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
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...
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...
C5i interview questions for popular designations
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...
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The duration of C5i interview process can vary, but typically it takes about less than 2 weeks to complete.
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4-8 Yrs
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