I'm a data-driven problem solver with a background in data science, analytics, and intelligent systems.
I love transforming complex or messy datasets into clear, actionable insights — whether that’s tracking performance across venues, analyzing EVE Online industry data, or developing smarter ways to manage and understand information.

• Data Wrangling & Analysis: Cleaning, combining, and interpreting real-world datasets to uncover trends in sales, logistics, or production.
• Data Integration & Tooling: Connecting Python, SQL, and Google Sheets to make data easier to manage, share, and visualize.
• Operational Analytics: Creating dashboards and reports for multi-system operations, identifying KPIs and performance trends.
• Game & Simulation Data Science: Building analytic tools for EVE Online market and production data — applying forecasting, cost modeling, and trend detection methods inspired by real-world data workflows.

• EveDataBrowser: An interactive exploration tool for EVE Online market and industry data — aggregates public API data, enables cost–output modeling, and supports decision-making for manufacturing and trading.
• indeedjobscraper: A Python-based scraper for job listings on Indeed.com — extracts role, company, time-zone, and key skills data to enable trend analysis and insights into remote work demands.

• Based in Oregon, comfortable working across remote, asynchronous teams.
• Experienced in both data analysis and operations management, bridging business requirements with technical execution.
• Passionate about clarity, precision, and continuous improvement — I aim to make data processes smoother and insights quicker to reach.
• Currently expanding skills in advanced SQL and React to deepen full-stack data visualization capabilities.

“Data doesn’t have to be big to be meaningful — it just has to be understood.”