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Achievement: Pull Sharkx2Achievement: Quickdraw

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MekongDelta-mind/README.md

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.

Pinned Loading

  1. long-term-news-llm-rag long-term-news-llm-rag Public

    Forked from realmistic/long-term-news-llm-rag

    Analyse long-term trends from weekly news publications

    Jupyter Notebook

  2. sma_project_repo sma_project_repo Public

    The repo which contains all the artifacts used for capstone project for the course "Stock Market Analytics Zoomcamp 2024"

    1

  3. tradingGen_challenge tradingGen_challenge Public

    Contains artifacts for solving the problem for the TradingGen challenge.

    Jupyter Notebook

  4. de_zoomcamp_2023_capstone de_zoomcamp_2023_capstone Public

    the repo for the DE zoomcamp 2023 which was submitted for evaluation

    Python 1

  5. ml_zoomcamp_2022_projects ml_zoomcamp_2022_projects Public

    Contains all the project for the course ML zoomcamp 2022

    Jupyter Notebook

  6. project-of-the-week project-of-the-week Public

    Forked from DataTalksClub/project-of-the-week

    Learn by doing: DIY project groups at DataTalks.Club