S&P Global
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
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I applied via Approached by Company and was interviewed before Mar 2023. There was 1 interview round.
Developed a predictive model for customer churn using machine learning algorithms.
Used Python and scikit-learn library for data preprocessing and model building
Performed feature engineering to improve model performance
Evaluated model performance using metrics like accuracy, precision, and recall
My friends think of me as reliable, supportive, and always up for a good time.
Reliable - always there when they need help or support
Supportive - willing to listen and offer advice
Fun-loving - enjoys socializing and trying new things
I applied via Naukri.com and was interviewed before Oct 2022. There were 3 interview rounds.
Easy to solve if you have basic mathematics understanding.
They will test your presence of mind and thinking.
Maths and probability
Current affairs and AI
Given 6 coding qns related to java and html and also ML.
Projects in machine learning involve developing algorithms to analyze and interpret data for various applications.
Developing a recommendation system for an e-commerce website
Predicting customer churn for a telecommunications company
Classifying images in a computer vision project
Anomaly detection in network traffic for cybersecurity
Natural language processing for sentiment analysis
I applied via Company Website and was interviewed in Sep 2024. There was 1 interview round.
Its average easy round
I applied via Campus Placement and was interviewed in Oct 2023. There were 3 interview rounds.
The aptitude test was easy.just like usual aptitude questions like quants,verbal,reasoning etc....
based on 1 interview
Interview experience
based on 3 reviews
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