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Repo consists the customer behaviors in order to select the business areas of improvements, recommendation and revenue increments factor. As per market demand, we need to analyse out customers, so that we can optimize company revenue as per customer segmentations.

License: MIT License

Jupyter Notebook 99.87% Python 0.13%
business-intelligence customer-churn-analysis machine-learning predictive-analytics python reporting streamlit-webapp

customer_churn_prediction_automl's Introduction

Hi I'm Kunal

DATA HAS A BETTER IDEA!!! just play with it...

Coding

✒️ About me:

  • 📌 Data Science Engineer having strong analytical ability, problem-solving skill, proficient in Machine Learning, Deep Learning, Market Research, Statistics, Python, C++ 11/14, with overall 4.5+ years of industry experience and 3+ years contributed in data analytics, data science tools like OpenAI, LLM, GPT and techniques with extensive experience in data analysis, manipulating, processing, insights, data preparation, data modeling, web scraping, API and ML-NLP-DL techniques. I like to learn new AI techniques, data aspects and innovative research.

  • 📌 Strong analytical ability with a passion for turning data into actionable insights, finding discoveries, hidden patterns, and solutions through it. I enjoy the journey with data, meeting new people, and hearing new perspectives

  • 📌 Let's Connect with me https://www.linkedin.com/in/kunalkolhe3

"Don't wait for opportunity, just create it."

✒️ Languages and Tools:

python scikit_learn tensorflow flask heroku heroku bootstrap Numpy bootstrap c cplusplus css3 html5 java mongodb mysql qt photoshop

✒️ Connect with me:

kunalkolhe3 kunalkolhe3 kunal.kolhe.98 kunalkolhe333 kkunalkkolhe kunalkolhe333

✒️ Profile info:

kunalk3 kunalk3 kunalk3

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