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Customer retention is a critical stage for customer relationship management (CRM), especially for established businesses after their initial exponential growth. Churn management or attrition management is important as when customers leave, there arenegative impacts on revenues. Churn analytics has been widely applied to proactive customer retention where descriptive and predictive analytics are utilised to identify and predict customer propensity to churn.

customer-churn-analysis sas-enterprise-miner rstudio customer-analytics

customer-churn-analysis's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m @Sazee a ML engineer who also loves to play with Data(Python, SQL, Scala, R Scripts)
  • ๐Ÿ‘€ Iโ€™m interested in Data Engineering, Analysis, and Machine Learning/ Deep Learning.
  • ๐ŸŒฑ Iโ€™m currently learning ML concepts- supervised learning SVM, Random Forest, Decision trees and Deep learing concepts like Neural Networks, CNNS, RNNS, transformer networks.
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on ML/Deep learning/Data Analysis projects.
  • ๐Ÿ“ซ Reach me at LinkdIn: https://www.linkedin.com/in/sazee-s/

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