- Lead the creation of executive reports and regularly met with company executives to provide data-driven insights, directly influencing marketing strategies that consistently resulted in meeting goals and client renewals.- Pioneered automated ETL workflows with Python, Hubspot, and Google Sheets, reducing manual data processing by over 2 hours per week and significantly enhancing reporting efficiency and scalability.- Scraped 100,000+ contacts and employed an NLP based scoring system to power cold outreach, leading to a significant increase in cold-email response rate.- Conducted in-depth data analysis and regression analysis for paid acquisition marketing campaigns, driving strategic decisions and achieving client goals.- Led cross-departmental meetings between creative and data teams to foster collaboration, resulting in the implementation of new systems, best practices, and data-driven insights on creative performance.

- Scraped and analyzed thousands of app events using Python and Mixpanel, identifying key user trends and segmentation (e.g., power, active, dormant users), which led to a significant increase in user retention.- Provided actionable insights for push notification strategies, optimizing user engagement during peak activity times by segment.

- Designed and managed a comprehensive game-testing database, consisting of data from thousands of test sessions, and conducted in-depth analysis to predict player behaviors and optimize game development.- Analyzed and organized game data using Python, R, and SQL to provide key insights for strategic game-balancing decisions.

- Engineered an in-game economy simulation using Machinations, a visual programming language, and analyzed thousands of gameplay scenarios to refine game balance and enhance player satisfaction.