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🛠️
Feature engineering my future
🛠️
Feature engineering my future
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rangywulf/README.md
4(3)

Hello, I'm Jess 👋

Data Analyst with a passion for turning messy datasets into clear stories and actionable insights.
8 years running e-commerce businesses taught me what data actually costs when you get it wrong. Now I have the technical skills to get it right.


⚡ What I Do

🔍  Query data and perform ad-hoc analysis using SQL and Python
📊  Build dashboards and visualizations in Tableau
🧩  Explore patterns and surface insights using Excel and Google Sheets


🛠️ Tools & Stack

Languages
Python SQL

Analysis
Pandas Jupyter Excel Google Sheets

Visualization
Tableau


🧪 Beyond Data

Not everything here is analytics. You'll also find repos where I'm:

  • 🌐  Building on the web -- HTML, CSS, and JavaScript projects as I expand my technical toolkit
  • 🔬  Experimenting -- personal projects where I try things out, break stuff, and learn by doing

I believe the best analysts understand how data lives in the real world -- and that means getting hands-on with the tech around it.


👋 Connect with Me

Portfolio   LinkedIn   Email

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  1. shock_and_price shock_and_price Public

    Analyzing oil & gas price responses to geopolitical shocks — from the Gulf War to the 2026 Iran conflict. Python + Tableau.

    Jupyter Notebook

  2. olist-ecommerce-analysis olist-ecommerce-analysis Public

    SQL analysis of 100K real Brazilian e-commerce orders. Explores revenue, delivery performance, seller quality, and the relationship between late deliveries and customer reviews.

  3. spotify-label-analysis spotify-label-analysis Public

    Analyzing Spotify data to identify music genres a record label should bet on next quarter

    Jupyter Notebook

  4. 4weekmealplanner 4weekmealplanner Public

    A comprehensive meal planning solution that helps users create customized 4-week meal plans with recipe management, automatic generation, and calendar views.

    JavaScript