Research & Task Order Analyst at NASA's Jet Propulsion Laboratory & 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 at Cal Poly Pomona and a Research & Task Order Analyst at NASA's Jet Propulsion Laboratory. I combine technical skills with real operational experience to build things that actually work.
I'm a Research & Task Order Analyst at NASA's Jet Propulsion Laboratory, where I help keep research task orders on track by managing their scope, deliverables, and documentation, and by turning day-to-day operational data into clear reporting the team relies on.
Before JPL, I built a centralized data system at the LA County Public Defender's Office, writing SQL queries, developing Excel workflows, and organizing more than 120 documents a month across six departments. I'm now a senior at Cal Poly Pomona, studying Business Administration with a concentration in Computer Information Systems and an emphasis in cybersecurity through the Kellogg Honors College, one of California's most selective honors programs. My coursework centers on data systems, cybersecurity, business intelligence, and systems design.
Outside of work and class, I build projects that put these skills to the test, including an AI phishing detector, a relational database, and a web scraper. When I step away from the screen, I stay active at the gym, on the basketball court, and traveling whenever I get the chance.
A track record built from rigorous academics, honors programs, and real-world coursework in technology and business.
Now in my senior year 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.
Current and past roles where I ship real work, maintain live systems, and contribute 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.