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Developed a predictive model for customer churn in a telecom company
Used machine learning algorithms such as logistic regression and random forest
Performed data preprocessing and feature engineering to improve model performance
Evaluated model performance using metrics like accuracy, precision, and recall
Developed a predictive model for customer churn in a telecom company
Used machine learning algorithms such as logistic regression and random forest
Performed data preprocessing and feature engineering to improve model performance
Evaluated model performance using metrics like accuracy, precision, and recall
I applied via Recruitment Consulltant and was interviewed in May 2024. There was 1 interview round.
Contained 3 coding question and 10 mcq on stats, ML and SQL, They asked to complete in 1hr to get shortlisted for next round. Then next round didn't happen
I applied via LinkedIn
Hackerrank statistics and dsa
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Edelweiss
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