Data analyst and aspiring data scientist at the University of Washington. I turn complex datasets into actionable insights — from 100K+ row industrial assessments to e-commerce conversion optimization.
Pursuing a B.S. in Applied Mathematics with a Data Science option at the University of Washington, I work at the intersection of mathematical rigor and real-world impact. My experience spans energy analytics, e-commerce optimization, and construction data — always with a focus on translating numbers into decisions.
I'm drawn to the full lifecycle of data work: from cleaning and integrating messy datasets with SQL and Python, to building interactive dashboards in Tableau, to presenting executive-ready insights that drive six-figure cost savings.
Outside of analytics, I'm passionate about AI ethics, data storytelling, creative video production, and exploring the world — documenting cultural experiences along the way.
End-to-end analysis of a simulated home goods category: SQL data integration, funnel analysis revealing a 28% conversion drop, and pricing strategy optimization with R = −0.72 correlation insights.
Analyzed 100K+ rows of industrial assessment data at SEAL Lab to deliver energy efficiency strategies, translating complex monitoring data into recommendations with $100K–$300K+ annual savings.
Built Excel/Python dashboards tracking 10+ KPIs across cost, scheduling, and pricing for active construction projects — supporting regulatory reporting and management decisions.
Machine learning pipeline with hyperparameter tuning, cross-validation, Ridge and LASSO regression, and comprehensive model evaluation from CSE 416 coursework.
Annual Dean's List ('23–'24, '24–'25, '25–'26). Coursework: Machine Learning, Statistics, Data Analytics, Systems Analysis, Data Visualization (Python, R, Tableau), Information Systems.
Attended the World Robotics AI Conference exploring cutting-edge developments in artificial intelligence and robotics.
I'm always open to conversations about data science, applied mathematics, analytics opportunities, or potential collaborations. Whether it's an internship, research role, or just a good conversation about AI ethics and data storytelling — feel free to reach out.