Mathematics, Data Science & Economics
Rutgers University '28
Building with data across modeling, code, and operations
Profile
Mathematics and Data Science major. I work in Python and SQL: pipelines, models, and Streamlit interfaces, with recent builds on equity volatility and recovery and macro series pulled from FRED.
At Advance Auto Parts I run commercial inventory and routed deliveries. Rebuilding schedules around volume and geography improved route efficiency about 15% in my area. I keep assumptions explicit, code reproducible, and handoffs legible to someone who was not in the notebook.
Projects
Analytics, data pipelines, and interfaces built for clarity under real constraints.
An interactive application engineered to analyze how consumer retail equities absorb and recover from volatility shocks compared to major indices. Includes optimized data caching to prevent API rate limiting.
An automated data pipeline that extracts and cleans key economic indicators from Federal Reserve sources to identify statistical anomalies preceding market downturns.
Delivery experience plus the stack I use most often on coursework and projects.
Managed large scale inventory logistics and commercial deliveries, improving route efficiency by 15% through schedule optimization.
Coordinated technical workshops on Python and R for 30+ members in a collaborative learning environment.