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 research.

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 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.

Developed an autoencoder-based anomaly detection system that analyzed over 7M consumer data points.

The system leveraged NLP to identify shifts in customer preferences and detect product performance drift.

My Career Journey So Far