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resume's Introduction

Hey ๐Ÿ‘‹

I'm a Data Scientist who has been building ML/DL models, Automation and Data Manipulation tools, Pipelines and more using Python...

๐Ÿ’ปLove Coding:

  • ML/DL models that not only aims to be high performance but also highly efficient, clean and scalable,
  • Programs that cover all the fundamental stages of end-to-end pipelines namely data collection, preprocessing, model building, output distribution,
  • Applying widely used tech stack and frameworks to every single project (e.g., Docker, Cloud Services, MLFlow etc.) when possible,
  • Out of box solutions that bring novel perspective to the problem at hand,
  • Somebody else's work and making a few tweak to it to see if it can serve to my purpose.

๐Ÿ‘€Love Learning:

  • How state of the art algorithms can be built from scratch,
  • What and how other open source frameworks can be implemented various kinds of problems to make them even more efficient,
  • Better ways to make a piece of code clean, more appealing and reusable,
  • How a piece of information can be presented in the best way possible.

Stack

python Python

Pandas | Numpy
Tensorflow | PyTorch | Scikit-Learn
Docker | FastAPI | MLFlow
Linux | MacOS | Windows
Regex | Levenstein Distance

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