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aileks/README.md

Hi, I’m Aaliyah

Email Portfolio LinkedIn Blog Codeberg

Senior at Arizona State University studying Data Science. Focused on applied ML, statistical analysis, and data products that hold up outside the notebook.

Note

Most ongoing work lives on Codeberg. GitHub hosts selected mirrors and portfolio projects.

Things I Had Fun Building

  • Spotify Data Analysis - feature engineering vs baseline models on Spotify popularity, with genre-level behavior comparisons. (R, R Markdown)
  • Exploring Senescence - statistical analysis of GenAge data to study aging-biomarker patterns and hypothesis-test outcomes. (R, visualization + inference)
  • HappyR - sentiment and emotion analysis app using multiple lexicons with interactive visual summaries. (R, Shiny, tidytext)
  • Monetrix - financial data visualization dashboard for quote/trend inspection and technical indicators. (Python, Streamlit)
  • Statistically Speaking - social platform for data-heavy posts and visualizations. (React, Flask, PostgreSQL, Pandas)

Tools I Reach For

Data Science

ML / Analysis

scikit-learn logo  tidyverse logo  pandas logo  shiny logo  plotly logo  d3.js logo  streamlit logo

Tooling

  

Always learning. Always building.

Pinned Loading

  1. dotfiles dotfiles Public

    [MIRRORED] My config files for Linux

    Lua

  2. emacs.d emacs.d Public

    [MIRRORED] GNU Emacs config - no distro

    Emacs Lisp 2

  3. quillify quillify Public

    Digitize your library

    TypeScript

  4. monetrix monetrix Public

    Realtime financial data visualizer

    Python

  5. spotify-data-analysis spotify-data-analysis Public

    Project for ASU's DAT 301 course. Data analysis of a Spotify track dataset focused on feature engineering comparisons.

    R

  6. exploring-senescence exploring-senescence Public

    Explores significant patterns in aging biomarkers using the GenAge dataset.

    HTML