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Hi there, I'm Durgesh Samariya πŸ‘‹

I am a third year Machine Learning Ph.D. candidate at Federation University, Australia. Apart from that I am seasonal ML developer that loves writing articles (on Machine Learning, Data Science, Productivity and PhD Tips) and contributing to open source.

  • πŸ’» Currently working on PyML, a python toolkit for building some of machine learning models and state-of-the-art algorithms without using any libraries. The aim of this project is to learn machine learning algorithms from scratch.
  • πŸ‘¨πŸ½β€πŸ’» Currently growing my skillset in Machine Learning and Data Science.

My Reseach Interest:

  • Outlying Aspect Mining
  • Classification
  • Clustering
  • Anomaly Detection
  • Similarity Measure

I am open to:

  • any collobration work,
  • machine learning projects(development or research),
  • research internships and
  • available to become reviewer or PC member for Machine Learning/Data mining journals or conferences.

Recent Update:

  • December 2021: Completed Deep Learning Nano Degree by Udacity. [Certificate]
  • October 2021: A paper is accepted for publication by the Annals of Data Science Journal (Springer).
  • October 2021: Delivered a guest lecture on "Deploying Maching Learning Model" at IT, CSPIT, Charusat University, Changa.
  • September 2021: Completed Coursera course by Deeplearning.ai on AI for Everyone taught by Andrew Ng. [Certificate]

Service to research comunity:

  • PC Member, at The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (ECML/PKDD 2020), Ghent [2020].

Skills:

Languages:

JavaΒ  PythonΒ  Shell ScriptΒ  LaTeXΒ  Markdown

ML/DL

TensorflowΒ  scikit-learnΒ  Fast APIΒ  NumPyΒ  PandasΒ  Plotly

Database

MySQLΒ  PostgreSQLΒ 

Tools and Technologies

LinuxΒ  GitΒ 

IDEs

EclipseΒ  Jupyter NotebookΒ  PyCharmΒ  Visual Studio CodeΒ  VimΒ 

Connect with me:

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