I enjoy exploring complex process and operational problems and finding practical ways to improve how things work.
I am a Master’s student in Business Analytics at Columbia University with a background in Business Economics and Cognitive Science (Machine Learning specialization) from UC San Diego. My interests lie at the intersection of data, process optimization, and business strategy, using analytics to improve decision-making and operational performance.
Outside of work, I love canyon runs in my car, designing jewelry, exploring interior design and good food.
I am currently seeking internship or collaborative opportunities in process improvement and strategy development across industries. Lets Connect!
Commercialization strategy for an mRNA-based solid tumor therapeutic platform at a biotech startup
Market strategy and customer segmentation analysis to optimize B2C growth and product positioning
Machine learning classification of ADHD using EEG signals and traditional ML models for objective neurodiagnostics
Data-driven reminder system to promote timely cancer screening based on individual risk factors, focusing on reducing health disparities in underserved populations.
Comprehensive analysis of U.S. county health rankings and USDA food access data to understand how food accessibility impacts diabetes rates across different communities.
A minimal iOS journaling app for capturing life's fleeting moments. Born from personal habit, designed for quick captures of thoughts, photos, and memories that might otherwise slip away.
Product-level detection of vibration-induced surface defects in CNC machining using sensor signal analysis and frequency-domain feature extraction.
Tools and technologies I use to deliver solutions
ritaxiong512@gmail.com
+1 (858) 539-5405
New York City, NY