MS Marketing Intelligence candidate at Fordham University building a portfolio in marketing analytics, campaign performance, and consumer insights.
Analysis of Uber ride performance across NYC zones and rider segments using Python.
Paid search experiment measuring how Google Ads drove traffic and engagement for a NYC dining blog.
OLS regression and caption text feature analysis identifying engagement drivers across 5,975 posts from 47 top Instagram creators.
More case studies from coursework and independent work are on the way.
Sourced and vetted industry experts across technology, finance, and healthcare to support due diligence for global investment firms, facilitating 50+ expert consultations and generating $75K in project revenue through targeted research and outreach.
Led full-cycle recruitment for finance and accounting roles within the alternatives sector, building candidate pipelines and partnering with hiring managers to place 30+ professionals through structured sourcing, screening, and interview processes.
Supported client financial planning through detailed fact-finding and personalized savings strategies, helping increase client savings outcomes and ranking #3 among Northeast interns in life insurance premium production.
For a full overview of my experience, coursework, technical skills, and certifications, download my resume or connect directly.
Python (Pandas)
Google Ads
Google Analytics
SQL
Tableau
Excel
SPSS