IT Data Analyst at the LA County Public Defender's Office & Computer Information Systems student at Cal Poly Pomona's Kellogg Honors College. I turn raw data into decisions, build tools that matter, and solve problems with code.
I am a CIS student and working IT Data Analyst based in Los Angeles. I combine technical skills with real operational experience to build things that actually work.
At the LA County Public Defender's Office, I maintain records, track certifications, support attorneys, and keep data systems running accurately across multiple departments. I write SQL queries, build Excel workflows, and manage 120+ documents per month.
At Cal Poly Pomona, I study Business Administration with a CIS concentration inside the Kellogg Honors College — one of California's most competitive honors programs. My coursework covers data systems, cybersecurity, BI, and systems design.
Outside of class and work, I build practical tech projects that solve real problems — from AI-powered threat detection to relational databases and web scrapers. I also stay physically sharp: gym every three days, basketball when I can.
A track record built from rigorous academics, honors programs, and real-world coursework in technology and business.
Enrolled in the Kellogg Honors College — CPP's most selective academic program requiring a minimum 3.5 GPA and completion of enriched, interdisciplinary coursework. Member of MISSA (Management Information Systems Student Association). Coursework spans data systems, cybersecurity, business intelligence, operations management, and organizational behavior.
Completed foundational coursework in database design, systems analysis, cybersecurity, and business intelligence before transferring to Cal Poly Pomona. Completed CIS 3050 and BUS 3050 with credit transfer to CPP.
Graduated with a 4.0 GPA while simultaneously serving as the school's IT Support Intern — configuring workstations, resolving hardware and software issues, and tutoring peers in Algebra, Chemistry, and Computer Science.
Roles where I shipped real work, maintained live systems, and contributed to operations that affect thousands of people.
Real projects applying data, AI, cybersecurity, and systems thinking to practical problems. Click cards with ↗ to download or view resources.
Full-stack phishing and social engineering detection app built for AI Hackathon 2026. Implements a two-layer detection engine with 12 threat categories, 9 high-risk combo rules, confidence scoring, and phrase-level pattern matching. Built with Flask, SQLite, and OpenAI API. Tested by 200+ users on launch day.
Applied CRISP-DM and logistic regression to 1,470 IBM HR records. Achieved 86.1% accuracy and AUC of 0.730, surfacing the top predictors of employee attrition with actionable retention strategies.
Interactive Excel and Tableau dashboard analyzing $2M+ in sales across 15 product categories. Surfaced a 23% regional profit variance — insights that informed pricing strategy decisions.
Engineered a normalized relational database with 8 tables and 25+ SQL queries for sales trend analysis, inventory optimization, and role-based data access across product categories.
Python desktop tool monitoring CPU, RAM, and disk in real time with automated cleanup routines for personal and professional productivity.
Selenium + BeautifulSoup scraper with LLaMA 3 (Ollama) for intelligent structured data extraction. Streamlit frontend makes it accessible to non-technical users.
Full Python/Jupyter pipeline on Genshin Impact player reviews — preprocessing, coherence scoring, cross-validation, and platform-level topic visualizations.
Interactive demos. The AI Safety Coach runs the same detection engine from my hackathon — fully in your browser, zero server calls.
Tools and technologies across my work, coursework, and personal projects — built and proven in real environments.