I’m working on adding more detail to this space. Much of my work is confidential, but here are representative outcomes and public case studies.
Increased new user conversion by 15%
Led statistical analysis and QA for a checkout A/B test, unlocking double-digit growth in new users (+15% increase in install to trial).
Unlocked new revenue streams
Produced the base dataset that powered the #1 most-clicked feature, and generated ~20% of new user revenue.
Shipped pricing uplift of 55%
Responsible for the analysis and rigor of a pricing A/B test that provided the confidence to increase prices by 55%.
Team Collaboration on Bug Fixes
Partnered with product and engineering to identify and resolve critical bugs, improving user experience and retention.
Measured True Marketing Impact
Built holdout and geo tests to separate incremental lift from baseline, guiding multi-million-dollar ad spend.
Insights That Shaped the Roadmap
Delivered analyses on user behavior that directly influenced product priorities and feature launches.
Shaped Retention Strategy
Analyzed subscription and churn data to guide promo strategy and improve customer retention.
Unique Segmentation Approach
Developed a novel user segmentation strategy that enhanced targeting and personalization across marketing channels.
Built analytics foundations
Architected the core data model and reporting layer powering self-serve insights across product, marketing, and finance.
Created the CEO's Daily Digest
Reimagined the analytics workflow, replacing manual weekly reports with an automated daily digest reporting for leadership.
Forecasted with ±5% Accuracy
Developed a robust forecasting model that achieved ±5% accuracy, and became the official financial forecast, used for staffing and planning.
Reduced Developer Rework by 80%
Partnered with engineering to implement data quality checks, cutting rework and debugging time by 80%.