About me

Welcome! I'm a recent grad pursuing a career in behavioral data science and quantitative research.

I created this site to share what I’m learning, highlight my work, and help others learn data science in a clear and approachable way.

Education

M.S. in Data Science - The University of Edinburgh (In Progress)

Moved to the UK to pursue advanced training in natural language processing, applied machine learning, and quantitative finance.

B.S. in Cognitive Science - Lehigh University

This interdisciplinary program allowed me to explore the intersection of human behavior and data through coursework in psychology, machine learning, and artificial intelligence.

• Concentration in Artificial Intelligence & Formal Models

• Minors in Data Science and Business

Research Assistant - Nano Human Interfaces Lab

Developed mixed-reality human-machine interfaces with integrated eye-tracking on the HoloLens 2, enabling the capture of high-frequency behavioral signals for quantitative analysis.

Senior Marking Data Science Intern - Lehigh@NasdaqCenter

Applied time-series analysis, clustering, and demographic segmentation to optimize posting schedules and audience targeting, achieving 114% LinkedIn and 54% Instagram follower growth.

Data Science Intern - McCormick & Company

Data Science Assistant - McCormick & Company

Developed statistical risk models analyzing 3M+ consumer behavior data points over 15 years of time-series data to predict product reformulation success rates.

Built an autoencoder-based anomaly detection system that processed 7M+ consumer data points, using NLP to detect preference shifts and track product performance drift.

My Career Journey So Far