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Developed and deployed a scalable machine learning model for real-time customer segmentation using FastAPI, Docker, Kubernetes, and GitHub Actions, with an end-to-end CI/CD pipeline on Azure Kubernetes Service, enhancing targeted marketing strategies through robust and seamless integration and deployment

PowerShell 17.92% Shell 5.85% Python 49.41% Roff 15.08% Jupyter Notebook 1.12% C 9.64% Dockerfile 0.98%
azure cicd clustering-algorithm docker endtoendpipeline githubactions kubernetes-deployment machinelearning

real-time-customer-segmentation-with-scalable-kubernetes-deployment-and-ci-cd-integration's Introduction

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Expert in End-to-End Data Solutions: Data Engineering, Machine Learning, Data Analysis, and AI

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  • ๐Ÿ”ญ Iโ€™m currently working on Generative AI Projects

  • ๐ŸŒฑ Iโ€™m currently learning Fine Tuning LLM's

  • ๐Ÿ‘จโ€๐Ÿ’ป View my portfolio to see all of my projects.

  • ๐Ÿ“ Explore detailed blogs on my Data Science and AI projects here.

  • ๐Ÿ“Š Explore my Tableau dashboards here.

  • ๐Ÿ’ฌ Ask me about Data Analysis, Business Analytics, Data Science & AI

  • โšก Fun fact I am an excellent cook

  • ๐Ÿ“ซ How to reach me [email protected]

  • ๐Ÿ‘จโ€๐Ÿ’ป Explore more about me by asking any questions to my chat bot here at my portfolio: Chat-Bot

  • ๐Ÿค— Dive into my interactive projects on Hugging Face Spaces: Hugging Face Spaces

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