Skip to content
View MiladNooraei's full-sized avatar
50 followers · 62 following
  • Shiraz University
  • Shiraz, Iran
Block or Report

Block or report MiladNooraei

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
MiladNooraei/README.md

About Me

  • Computer Engineering student at Shiraz University
  • Enthusiastic in Data science and Analysis
  • Currently improving my Machine Learning Skills
  • Also interested in Music and Business

Contact Me

Email LinkedIn Instagram

Programming Languages

Python R Java C LaTeX

Tools

  • Pandas NumPy Matplotlib Plotly Selenium
  • MySQL Power Bi Microsoft Excel
  • Visual Studio Code Jupyter Notebook
  • ChatGPT Trello Notion Git GitHub
  • Adobe Premiere Pro Figma Canva

GitHub Stats

GitHub Stats Most Used Languages

Pinned

  1. Quera-Football Quera-Football Public

    Forked from FarzanehSoltanzadeh/Quera-Football

    Empowering football analytics through Transfermarkt data crawling, robust database design, and advanced analytics, yielding valuable insights and accurate predictions

    Jupyter Notebook 5

  2. Quera-Superstore Quera-Superstore Public

    Forked from FarzanehSoltanzadeh/Quera-Superstore

    Performed data pre-processing, optimized data warehousing, applied statistics and machine learning, and used Power BI for insightful visualizations to support informed decisions

    Jupyter Notebook 6

  3. Calculating_Apache_II_and_III Calculating_Apache_II_and_III Public

    Working with patient datasets and calculating their Apache II and III scores

    Jupyter Notebook 5 1

  4. IMDb-Top-250-Movies-Analysis IMDb-Top-250-Movies-Analysis Public

    Scraping data from IMDb Top 250 Movies and deriving insights from it

    Jupyter Notebook 4