This repository hosts my personal portfolio site, built with HTML and CSS, and deployed using GitHub Pages.
Visit the live site: https://joannar77.github.io
I am a Data Scientist with a background in IT Management, Accounting, and Analytics.
I focus on turning raw data into clear, actionable insights through reproducible workflows, effective visualization, and rigorous validation.
Currently pursuing a Master’s in Data Science
Core skills: Python • Pandas • NumPy • SQL • MongoDB • Data Visualization • Business & Financial Analytics
- Repo: employee-turnover-data-cleaning
- Highlights: Structured Python workflow for cleaning HR datasets — duplicates, missing values, categorical standardization, derived salary checks, outlier handling, and transparent flagging.
- Video Walkthrough: Watch on Vimeo
- Repo: business-performance-project
- Highlights: Financial ratio analysis, state-level aggregation, descriptive statistics, debt-to-equity and ROE calculations, and clean visualization workflows in Jupyter Notebook.
- Repo: healthfit-mongodb-project
- Highlights: Actionable health and business insights using MongoDB aggregation pipelines, baseline and optimized queries, and Python + Node.js integrations.
- Repo: race-registration
- Live Demo: joannar77.github.io/race-registration
- Highlights: A simple interactive JavaScript app assigning race numbers and start times based on age and registration rules.
- Languages & Tools: Python, Pandas, NumPy, SQL, MongoDB, JavaScript, HTML, CSS
- Visualization: Matplotlib, Seaborn, Data Profiling
- Deployment: GitHub Pages, Jupyter Notebooks
- Focus Areas: Data Cleaning • Validation • HR Analytics • Financial Analysis • Outlier Detection • Visualization
Built with HTML, CSS, and GitHub Pages. Last updated: October 2025.