● Designed and analyzed 50+ A/B and multivariate experiments across CNN's digital platforms, evaluating user experience, content
presentation, and audience engagement, translating findings into recommendations that drove product, pricing, and editorial decisions
● Partnered with 4+ cross-functional teams (product, editorial, growth, engineering) to translate business questions into structured
hypotheses, advising on statistical validity, engineering constraints, and timelines to ensure rigorous experiment designs across 50+ tests
● Built a sample size calculator and centralized metrics dashboard adopted across multiple teams, replacing manual Excel-based planning
processes and reducing per-experiment setup time by ~30 minutes, saving an estimated 25+ hours annually across the testing roadmap
● Queried and analyzed behavioral data across millions of monthly users using SQL, tracking click-through rate, session duration, and
retention across 2+ week experiments to surface statistically significant findings and deliver readouts to 3+ cross-functional teams
● Standardized the experimentation lifecycle by developing a structured framework for test design, execution, and

● Led the design & execution of 50+ data-driven A/B experiments for 5+ Fortune 500 clients across insurance, quick-service restaurants,
and retail, generating millions in incremental revenue and cost savings through strategic decisions in marketing, pricing, and operations
● Established a repeatable A/B testing methodology deployed across 5+ Fortune 500 clients, developing frameworks, templates, and
documentation to systematize test setup and measurement, improving statistical rigor and scaling to meet a broader range of client needs
● Managed 30+ automated data feeds critical to client dashboards and experiment pipelines, identifying and resolving data quality issues,
and developing and enhancing 20+ custom SQL scripts in collaboration with 5+ data engineers and 10+ client stakeholders weekly
● Mentored 4+ junior team members, enabling them to independently own experiments and take on client-facing responsibilities
● Conducted weekly trainings on statistical concepts and experiment interpretation for 50+ stakeholders, spanning C-suite to analyst level

Case: Buy-side commercial due diligence for middle market private equity assessing value of emerging industrial service technologies
● Interviewed 40+ industry decision makers and competitors to assess growth drivers, pricing dynamics, and competitive positioning,
delivering a due diligence recommendation that supported a successful acquisition by a Palladium Equity-backed portfolio company
Case: Buy-side growth strategy for 8 figure revenue international conglomerate assessing software assets with potential M&A synergies
● Analyzed 50+ competitors across 5 product categories and triangulated APAC market growth to assess M&A synergies across 5
automation software types, contributing to a market model and investment thesis presented to client's parent company