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An Automated production pipeline which includes aws infrastructure provisioning using terraform and CI-CD using git-hub actions.

License: MIT License

Shell 7.19% Python 72.68% HCL 20.13%

aws-production-pipeline-mlops's Introduction

Hey There ,

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Hi, I'm Ketan Gangal, a passionate Data Scientist. I am enhancing my knowledge with the latest development in the field of Data Science. I have worked in data science for more than two years, and I have a track record of successfully implementing data science pipelines in production with practical expertise using ML-Ops, deep learning & machine learning. I also Love sequence Processing because it is deeply inspired by humans as our feeling, thoughts, emotions, sensations, language are sequential in nature if we can enable machine to understand sequence of information and act accordingly we can make significant progress towards true artificial intelligence.

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ketangangal ketangangal


๐Ÿ‘จโ€๐Ÿ’ป Languages and Tools:

aws bash circleci docker flask gcp git grafana jenkins kubernetes linux mongodb mysql nginx opencv pandas python pytorch scikit_learn seaborn tensorflow


๐Ÿš€ Connect with me:

https://twitter.com/ketan_gangal https://www.linkedin.com/in/ketan-gangal/ https://www.kaggle.com/ketangangal


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