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The objective of this case is to predict the whether the customer will churn or not. Churn (loss of customers to competition) is a problem for companies because it is more expensive to acquire a new customer than to keep your existing one from leaving. This problem statement is targeted at enabling churn reduction using analytics concepts.

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churn_reduction's Introduction

Hi ๐Ÿ‘‹ My name is Akash Hemant Saxena

Data Science Engineer

Passionate Data Science Engineer with a keen interest in deploying cutting-edge models. Proficient in leveraging AI and ML techniques, I specialize in Natural Language Processing (NLP), Convolutional Neural Networks (CNN), and Generative AI. Mastery extends to frameworks like scikit-learn, Deep Learning. Excited about solving complex challenges, I've successfully implemented models, including ANN and BERT. Adept in end-to-end development, I've contributed to impactful projects, such as analytics dashboards, predictive models, and recommendation modules, consistently driving business success.

  • ๐ŸŒย  I'm based in Nagpur, Maharashtra, India
  • โœ‰๏ธย  You can contact me at [email protected]
  • ๐Ÿง ย  I'm learning Generative AI

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PythonGitFast APIGraphQLMongoDBMySQLPostgreSQLHerokuFlaskDjangoAmazon Web ServicesDockerLinuxPyTorchTensorFlowFigma

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