Creating data-driven strategies for consumer-facing products. Currently supporting Instagram Product Performance, delivering a smooth and performant user experience. Formerly supported e-commerce and payments teams spanning P2P, B2C, and Ads Billing. • Drove the strategic vision for large product groups, opportunity sizing big bets and influencing the direction of the team. Drawing relationships between technical app performance metrics and user engagement to inform product strategy.• Designing and managing A/B tests to improve app performance. Making ship/no-ship decisions across the company to hold performance to a high standard.• Designed and opportunity-sized an ML model to improve ads billing logic. Worked with cross-functionalengineering and product partners to implement, incrementally increasing company revenue.• Conducted long-term user retention analysis on our P2P payment platform. Applied to a competitiveanalysis and identified gaps that the product team prioritized to optimize market share.• Developed a new suite of KPIs for product-market fit, overseeing the ETL pipeline, tooling, anddocumentation. Drove alignment among leadership on the long-term vision for success in peer-to-peer payments.• Built robust A/B experimentation plan for product teams, including experiment design, troubleshooting, and metric prioritization. Conducted in-depth analysis of complex experiments to determine product impact.

• As part of the Marketplace Integrity Team, conducted in-depth analytics of user reviews to identify datapatterns indicating scam product listings• Designed a product integrity framework to validate trust signals. Identified metrics to track the success of new integrity features on Marketplace

• Developed ETL processes using SQL & Python to analyze the effectiveness of advertisement strategiesand brand awareness• Designed & implemented an econometrics dashboard using Python and RapidMiner to track KPIs tooptimize media expenditures and predict future returns• Presented analysis and recommendations to senior executives to enable clients to modernize their brand strategies and make data-based decisions regarding current market trends

Developed internal data visualization app for easier access of customer feedback by data analytics teams. Understanding of Java and SQL allowed for communication across various databases to better understand survey results while work in HTML, CSS and JavaScript yielded a smooth and professional user interface.

Worked with Tableau researchers to develop insight into the MLB All-Star Game. Presented findings at event held during All-Star weekend.

Conducted studies of government bond prices in order to develop stock portfolios. Used Microsoft Excel and Python programming language to conduct calculations.