★★★★★ — Analyst of the Shadow Realm
Bridging a background in product operations and technical support, I'm pivoting into data analytics to help businesses cut through the noise and actually understand what's happening under the hood. Skilled in Python, SQL, and Tableau, I also leverage AI assisted tools to optimize workflows, freeing up more time for what matters most: data storytelling and insights.
A comprehensive PostgreSQL database analyzing 21 years of Yu-Gi-Oh! World Championship data from 2004 to 2025. Tracks 18 championships, 36 professional players across 5 continents, 26 competitive deck archetypes, and 72 iconic cards. Features advanced SQL querying, Docker containerization, and Tableau visualizations.
An interactive Jupyter notebook dashboard analyzing 485 books from my personal Goodreads reading history. Features 9+ visualizations covering rating patterns, reading timelines, favorite authors, page count distributions, and year-over-year trends.
An interactive Tableau dashboard analyzing the Yu-Gi-Oh! TCG market from 2020 to 2026. Covers price trends, estimated unit sales, market price appreciation, popularity vs collector value, and historical performance across deck eras.
Open to freelance projects, full-time roles, and interesting data problems. I activate my trap card: Available for Hire.