Research Assistant
• Developed a Python-based automation tool with a user-friendly interface to systematically download over 250,000 entries of sports betting-related keywords from Google Trends for each U.S. state; implemented data cleaning and aggregation processes, and analyzed correlations between search frequency trends and the timeline of sports betting legalization• Conducted comprehensive data analysis on marketing and revenue figures from 10-K filings of publicly traded sports betting firms to quantify the impact of marketing investments on the growth of online sports betting• Facilitated interviews with a group of +EV sports bettors to decode and document their strategies for identifying arbitrage opportunities, enhancing understanding of market dynamics and bettor behavior