I still remember building my first website in HTML back in 5th grade—the thrill of seeing my code come to life on screen ignited something in me. Today, I am proud to say that I have officially graduated from Oregon State University with a B.S. in Business Analytics, receiving the university's prestigious Award for Outstanding Achievement, an honor reserved for just the top 3 graduating students in the major this year.

I chose business analytics because it perfectly merges my core technical capabilities with my fascination for understanding consumer behavior and conversion metrics. I thrive at the intersection of data engineering, funnel optimization, and high-growth strategy—building backend pipelines, automating infrastructure, and translating complex mathematical data models into visual business intelligence tools.

Throughout my academic journey, I have focused on launching high-impact technical initiatives. I had the privilege of serving as the President of the OSU Business Analytics Club and acting as the Chief Marketing Officer for BeaverHacks, where I spearheaded digital optimization campaigns that generated 300,000+ views and scaled the event into Oregon's largest hackathon with over 450 attendees. Simultaneously, I applied my analytics toolkit within corporate and university structures, tracking metrics across $50M+ in digital assets at IndexCoop and architecting data scripts for 80,000+ enterprise users within university IT operations.

When I'm not running predictive models, text mining large-scale open-source datasets, or debugging relational databases, I am actively constructing full-stack systems alongside a passionate community of driven developers.

Developed a real-time automated quantitative processing client loop for smart decentralized forecasting environments:

• Built predictive machine learning structures using scikit-learn frameworks to map optimal order spread intervals against structural velocity metrics dynamically.
• Configured end-to-end event loops through Polymarket's central-limit order book (CLOB) client SDK to handle programmatic position allocations cleanly.
• Created a unified TypeScript-driven Next.js analytical tracking desk to verify open market risk data and real-time position vectors.

Architected a highly scalable concurrent data collection pipeline and dashboard leveraging autonomous AI agent networks:

• Designed a multi-agent backend architecture where autonomous Claude nodes concurrently crawl, clean, and process live web data.
• Integrated Ghost's managed PostgreSQL infrastructure using structural database schemas and row-level locking to support conflict-free parallel writes.
• Built a real-time responsive Next.js analytics dashboard to track streaming database metrics and monitor active pipeline ingestion health.

Built an AI-powered app that gamifies dental hygiene by rewarding consistent brushing, teaching kids about compound investment and healthy habits through play:

• Integrated Gemini AI to detect and verify brushing activity in real-time
• Connected to a Stripe-powered "tooth fairy" system for reward management
• Gamified the dental hygiene experience to encourage consistent healthy habits
• Implemented financial literacy features teaching kids about compound investment
• Developed cross-platform functionality for easy parent-child interaction
• Leveraged computer vision pipelines to analyze live webcam feeds tracking motion profiles

Created a website to optimize the studying experience for BeaverHacks 2025 that includes:

• AI-generated learning plans using Groq + Gemini pipeline
• Real-time study tracking with pomodoro timer implementation
• Visualized user analytics with Plotly Dash
• Google Calendar API syncing for seamless scheduling
• Secure Google/email login with Firebase Authentication
• Cloud-based backend with Flask deployed to Google Cloud Run
• Frontend built with React, TailwindCSS, and Mantine

Conducted focused corporate evaluation tracks examining product performance and user distribution variables for structural optimization models:

• Conducted a comprehensive focus group exploring PlayStation consumer usage constraints and feedback loops to extract core qualitative insights.
• Parsed targeted metrics to craft personalized operational recommendations map sets for potential future brand initiatives.
• Wrote a technical strategic analysis paper detailing structural patterns and presented findings cleanly before university academic panels.

Processed massive distributed datasets using classification metrics and mathematical vector analysis:

• Worked in a team of students to utilize data mining, text mining and machine learning in Python in order to analyze more than 6,990,280 rows of data
• Utilized a variety of packages to make inferences from data, and using Term Frequency-Inverse Document Frequency Vectorization to determine user sentiment

Evaluated variables driving streaming velocity using regression frameworks and clean database sorting layers:

• Utilized Python with Pandas and NumPy to clean and preprocess data, ensuring high-quality input for analysis
• Applied linear regression to identify key drivers of music popularity
• Visualized results with Matplotlib to communicate findings effectively
• Collaborated with a team to create dynamic visualizations in Power BI and Python, enhancing the final presentation where we detailed our analysis and insights on music popularity trends

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Led a team of students to conduct comprehensive market research and analysis of Tesla sales and market data, examining trends and patterns to provide strategic insights.

Collaborated with a team of students to develop and present "BrainBytez," a cutting-edge product prototype, in a competitive academic environment:

• Delivered a compelling presentation to a panel of judges, effectively communicating the product's features and market potential
• Conducted comprehensive financial analysis, including cost estimates and revenue projections, to support the product's viability
• Strategically formulated and executed a funding request, successfully pitching to potential investors