I started out as a Linguistics major, mostly because I'm a fan of the wonderfully messy ways people communicate - pidgins, creoles, all the 'dirty' languages that break the rules.

Turns out, that love for finding patterns in chaos is perfect for the tech world. Deconstructing a creole language isn't all that different from parsing unstructured web data or cleaning a chaotic dataset. Both have their own weird syntax, and both are incredibly satisfying to figure out. I’m a data person at heart, but with a healthy dose of cybersecurity paranoia.

• 🔭 What I'm focused on: Finding a full-time role in Data Analysis or Data Engineering where I can tackle complex, messy data. I'm also interested in security analytics roles that merge both of my passions.
• 💬 Ask me about: Why data cleaning is 80% of the work and 100% of the fun, how to build a web scraper from a simple debugging session, or my latest database project.

Here's a look at the tech I work with regularly.

These are a few of my favorite projects. They're pinned below, but here's the story behind them.

1. TrueCar Web Scraper: It all started when my mom asked for help with a text extract error. That simple debugging session somehow spiraled into this - a full-blown web scraper to pull market data. It was the first time I tackled a problem I knew nothing about from start to finish and won. Made me think, "damn, maybe I am more capable than I thought."
2. La Liga Management System: A high-stakes clash of titans, not just on the pitch, but in the database. This project involved building a secure management system from the ground up while running dramatic salary analytics - pitting Real Madrid's entire payroll against Barcelona's average in a battle of nested SQL subqueries.
3. Fleet SQL Analytics: My deep-dive into a simulated taxi company's database to figure out why things were so inefficient. I used everything from basic queries to advanced window functions to discover that only 45% of certified drivers were actually driving. An operational nightmare, but a fantastic data puzzle.
4. (Comin Soon) BTL1 Incident Response Write-Up: I'm under an NDA, so I can't share the gory details of the incident. This write-up instead focuses on the emotional rollercoaster that was the exam: the 14 hours I spent fighting the mental roadblocks, the immense pressure I put myself under, and how letting go of perfectionism helped me problem solve and ultimately earn the Gold certification.

Take a look at my Credly!

This is a summary of what I bring to the table, based on my project experience and training.

• Data Analysis & Business Intelligence

  • Developing advanced SQL queries (Window Functions, CTEs, complex JOINs) for data analysis and business intelligence reporting.
  • Building automated ETL pipelines for web scraping, data cleaning, and validation using Python, Pandas, and BeautifulSoup.
  • Performing statistical analysis to identify trends, optimize processes, and deliver actionable recommendations.

• Security Analytics & Incident Response

  • Correlating security logs and detecting anomalies with SIEM tools like Splunk.
  • Conducting digital forensics by analyzing disk and memory images to reconstruct incident timelines.
  • Applying threat intelligence frameworks like MITRE ATT&CK for comprehensive threat analysis.

• Systems & Infrastructure

  • Administering Linux (Debian) and Windows Server environments, including Active Directory and Group Policy management.
  • Automating system tasks and file organization using advanced Bash scripting.
  • Designing and implementing normalized relational database schemas for complex applications.