I'm a Data Science student at Metropolitan State University interested in artificial intelligence, machine learning, responsible AI, analytics, and technical communication.
My work combines machine learning, statistical research, product strategy, user experience, and journalism. I enjoy transforming complex technical ideas into systems, research, and stories that people can understand and trust.
- 🥇 1st Place Nationally — 2026 EY AI-Driven Talent Optimization Challenge
- 🤖 Break Through Tech AI Fellow
- 📰 Copy Editor, Technology Reporter & Writer — The Metropolitan
- 🔬 Published Undergraduate Researcher
- 📊 Pursuing a B.S. in Data Science
- 🛡 Completing a certificate in Intelligence & Security Analysis
My goal is to build AI systems that are accurate, transparent, responsible, and genuinely useful.
- Building end-to-end machine learning projects
- Exploring responsible and explainable AI
- Developing stronger Python, SQL, and database skills
- Learning retrieval-augmented generation and AI agents
- Writing and editing technology journalism
- Connecting AI systems with real-world business and social needs
Led product strategy, responsible AI research, user experience, and technical storytelling for an AI-powered talent optimization platform.
- Designed explainable candidate-matching workflows
- Defined privacy, fairness, redaction, and audit features
- Researched responsible AI and hiring governance
- Presented the final solution and live demonstration
- Earned 1st Place nationally at the 2026 AIS Student Chapter Leadership Conference
Research, write, edit, and prepare articles for publication in Metropolitan State University's independently run student newspaper.
- Write original reporting and explanatory technology features
- Cover artificial intelligence, data science, cybersecurity, and emerging technology
- Copy edit articles for structure, accuracy, clarity, grammar, and publication standards
- Translate complex technical subjects for a broad student audience
- Support the newsroom through research, editing, and collaborative publication workflows
Selected for an intensive AI fellowship focused on machine learning foundations, technical development, professional preparation, and industry-centered projects.
Core areas:
Python • Machine Learning • Neural Networks • TensorFlow • scikit-learn • Model Evaluation
Led the development of the club's digital community, branding, programming, outreach, and member experience.
- Built and organized a 45+ member Discord community
- Designed onboarding, collaboration, and resource systems
- Created surveys and analyzed student interests
- Planned kickoff and speaker events
- Designed flyers, infographics, guides, and digital communications
- Transferred documentation and operational resources to incoming leadership
Designed and conducted a 14-day quantitative study examining the relationship between audio environments, focus, and productivity.
- Collected data across 87 study sessions and approximately 69 hours
- Applied one-way ANOVA and Tukey HSD
- Created visualizations using R and ggplot2
- Presented at the Student Scholars Research Conference
- Published the research through MetroWorks
- Selected by the professor as an example for future students
🥇 1st Place — 2026 AIS Student Chapter Leadership Conference
Insight Talent AI is a human-centered talent optimization platform designed to support more transparent, explainable, and privacy-conscious hiring decisions.
- 🔍 Semantic candidate matching
- 💬 Explainable recommendations
- 📄 Resume redaction
- ⚖️ Bias and fairness analysis
- 📊 Audit logging
- 🧭 Personalized career guidance
- 👤 Human-in-the-loop decision support
- Product strategy and feature planning
- Responsible AI and governance research
- UX design and user workflows
- Prompt and AI-agent capability design
- Technical storytelling and presentation design
- Collaboration between product and implementation
React • TypeScript • Node.js • Flask • Python • PostgreSQL • NLP
Built an end-to-end machine learning pipeline to classify more than 28,000 Airbnb listings into high- and low-price categories.
Highlights
- Data cleaning and exploratory analysis
- Feature engineering and categorical encoding
- Logistic Regression and Neural Network models
- GridSearchCV and feature scaling
- Accuracy, precision, recall, F1, and confusion matrices
- Model serialization for reproducible inference
Python • pandas • NumPy • scikit-learn • TensorFlow • Keras
Published undergraduate research examining how different audio environments influenced focus and productivity.
Highlights
- 14-day quantitative study
- 87 study sessions
- One-Way ANOVA
- Tukey HSD
- R and ggplot2
- Conference presentation
- MetroWorks publication
Two-way ANOVA project examining how stress level and BMI category relate to sleep duration.
Highlights
- Two-Way ANOVA
- Interaction effects
- Post-hoc analysis
- Statistical interpretation
- Data visualization
- Research reporting
A reusable collaboration platform concept for student teams, clubs, competitions, and project-based communities.
Focus Areas
- Team organization
- Competition tracking
- Member profiles
- Resource management
- Analytics dashboards
- Community-centered UX design
Through Metropolitan State University's Intelligence & Security Analysis Certificate Program, I have applied structured analytical methods to simulated national security scenarios.
- Applied Analysis of Competing Hypotheses
- Evaluated competing explanations and evidence
- Assessed source reliability
- Used Structured Analytic Techniques
- Applied the intelligence cycle
- Organized analytical data in Microsoft Excel
- Collaborated on decision-focused intelligence assessments
ACH • Structured Analytic Techniques • Critical Thinking • Analytical Writing • Excel
A quantitative study examining how audio environments influence focus and productivity.
As a Copy Editor, Technology Reporter & Writer, I research and communicate emerging technology topics for a university audience.
My work focuses on:
- Artificial intelligence
- AI agents
- Responsible technology
- Machine learning
- Data science
- Cybersecurity
- Technology and student life
Python • SQL • R • TypeScript • JavaScript • HTML • CSS
pandas • NumPy • scikit-learn • TensorFlow • Keras • matplotlib • ggplot2
- Supervised learning
- Classification
- Regression
- Logistic Regression
- Neural Networks
- Feature engineering
- Data preprocessing
- Hyperparameter tuning
- Model evaluation
- Exploratory data analysis
PostgreSQL • MySQL • SQLite • Supabase
Tableau • Power BI • SAP Analytics Cloud • Microsoft Excel
Git • GitHub • VS Code • Jupyter Notebook • Google Colab
I'm happy to connect with students, researchers, journalists, engineers, and professionals interested in artificial intelligence, machine learning, data science, responsible technology, and technical communication.
"Using data, research, and communication to build AI solutions that create meaningful impact."