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Intro about Me:

Hi, I'm Prabin Kumar Nayak. Thanks for visiting my profile !!!

  • Actively seeking opportunities to contribute and learn, particularly in MLOps and Data Engineering.
  • Currently engaged in Data Analytics and Data Science, primarily using Python.
  • Please check my projects in the Pinned section below.
  • Previous experience as a Backend Developer, working with Java Servlet, JDBC, Hibernate, and SQL.
  • Open to collaborations on interesting Data Science challenges; please don't hesitate to reach out.
  • You can reach me on:

Language :

Python PostgreSQL MySQL Java

Libraries & Framework :

NumPy Pandas Spring

Vizualization Tools:

Metabase

Blog posts

Personal Portfolio(Data Science) link

Jovian is an end-to-end cloud platform for data science and machine learning, designed to provide the best hands-on learning experience. I have all jupyter notebooks which I created for solving the problem statements in the hackathons here. NOTE: Some of the notebooks are private and can't be accessed.

Prabin Nayak's Projects

100-days-of-web3 icon 100-days-of-web3

This is a list of the content I shared about Web3 for the upcoming 100 days

30-days-of-python icon 30-days-of-python

30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.

agentk icon agentk

An autoagentic AGI that is self-evolving and modular.

ai-engineer-quick-revise icon ai-engineer-quick-revise

A repo for quick revise for AI engineer posts. This is basics to dice into the role. Resources maybe added to make it viable for Intermediate and expert professionals

ai-scientist icon ai-scientist

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery πŸ§‘β€πŸ”¬

ai-senior icon ai-senior

AI Assistant, an end-to-end LLMOps project, fine-tuned to provide support for coding and design questions based on the latest trends in the industry.

alphalens icon alphalens

Performance analysis of predictive (alpha) stock factors

anomalib icon anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

applied-ml icon applied-ml

πŸ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

applyingml icon applyingml

πŸ“Œ Papers, guides, and mentor interviews on applying machine learning for ApplyingML.comβ€”the ghost knowledge of machine learning.

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