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rayyanusmanii/README.md

about me

hey, I'm rayyan, a first-year mathematics student at the University of Waterloo, interested in data analytics and building tools that turn raw data into clear insights.

featured projects

check out my projects!

  • World Cup Historical Analysis — Jupyter notebook analyzing 90 years of FIFA World Cup data to uncover team performance trends, host advantage, and goal scoring patterns ahead of the 2026 tournament
  • Finance Analyzer — Python tool that automatically categorizes and visualizes spending from any CSV file
  • Job Tracker — Python tool to log, track, and analyze job applications with status breakdowns and response rate analytics

socials:

LinkedIn Email

tech stack:

Python Pandas Jupyter NumPy Matplotlib Google Cloud

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  1. World-Cup-Analysis World-Cup-Analysis Public

    Jupyter notebook analyzing 90 years of FIFA World Cup data to uncover team performance trends, host advantage, and goal scoring patterns ahead of the 2026 tournament.

    Jupyter Notebook

  2. Finance-Analyzer Finance-Analyzer Public

    Python tool for cleaning transaction data, auto-categorizing spending with AI, and visualizing financial habits.

    Python

  3. Job-Tracker Job-Tracker Public

    A Python command-line tool to log and analyze job applications; tracks status, response rates, and average wait times with a visual breakdown chart.

    Python

  4. LinkClean LinkClean Public

    Chrome extension that cleans up irrelevant LinkedIn posts, surfaces internships, and keeps your feed relevant.

    JavaScript