๐ŸŒ™
๐ŸŒ™
Data Analyst ยท Card Duelist

I read the data.
It tells me things.

โ˜…โ˜…โ˜…โ˜…โ˜… โ€” 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 โ€” and actually understand what's happening under the hood.

Draw a Card โ†’ Send a Duel Request
โฌก Chapter I โฌก

Monster Cards โ€” My Stack

Effect Monster
๐Ÿ
Python
A serpent of data sorcery. Wields Pandas, NumPy, Matplotlib, and Seaborn to transform raw chaos into visual truth.
ATK: โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘   DEF: โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘
Effect Monster
๐Ÿ—„๏ธ
SQL
The ancient tongue of databases. Fluent in PostgreSQL, MariaDB, and MySQL โ€” queries forged like sacred scrolls.
ATK: โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘   DEF: โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘
Effect Monster
๐Ÿ“Š
Dashboards
Conjures visions from data using Power BI, Tableau, and Microsoft Excel โ€” insight made visible to all who dare look.
ATK: โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘   DEF: โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘
โฌก Chapter II โฌก

Spell Cards โ€” Projects

โ—†
โฌก Continuous Spell Card
Python Pandas Matplotlib Seaborn Jupyter
Goodreads Book Dashboard

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.

โฌก View on GitHub โ†—
01 EDA & Visualization
โฌก Field Spell Card
Tableau Public Microsoft Excel Data Visualization Data Cleaning
Yu-Gi-Oh! TCG Market Analysis Dashboard

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.

โฌก Read the Blog โ†—
02 Market Analysis
โฌก Chapter III โฌก

The Duelist's Scroll

๐ŸŒ™
โšก millennium_puzzle.py โšก
# โ€” the duelist awakens โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”

name     = "Diana Chin"
role     = "Data Analyst"
location = "New York, NY"

focus = [
    "turning raw data into stories",
    "dashboards non-technical teams actually use",
    "bridging ops knowledge with analytics",
]

currently = {
    "open_to": "new opportunities",
     "obsessed_with": "Yu-Gi-Oh & data viz",
}

โ–ถ python millennium_puzzle.py
# It's time to duel.  
โฌก Chapter IV โฌก

Summon an Ally

โ—†

Let's Duel.
(Or Collaborate.)

Open to freelance projects, full-time roles, and interesting data problems. I activate my trap card: Available for Hire.

โœ‰
Email dianarchin@proton.me
โŒฅ
GitHub github.com/dianarchin
โ†—
LinkedIn linkedin.com/in/dianarchin
โœ
Blog duelingwithdatasets.hashnode.dev
๐•
X @dianarchin