
Demetri developed comprehensive interaction detection documentation for the Eppo-exp/eppo-docs repository, supporting experimentation workflows within the Eppo platform. The work focused on assignment dependence and interaction effects, providing practical guidance, statistical methods, and real-world examples to help product and data science teams interpret and act on interaction alerts. Using Markdown and leveraging strong documentation skills, Demetri established a reusable structure to streamline future content and onboarding. The documentation improved cross-team alignment by clarifying experimentation practices and offering actionable insights. The depth of coverage and clear organization demonstrated a thoughtful approach to technical writing and statistical reasoning in experimental analysis.

May 2025: Delivered targeted documentation to support reliable experimentation around interaction detection within the Eppo platform, focusing on assignment dependence and interaction effects. The work provides practical guidance, examples, and statistical methods for detecting and interpreting interaction alerts, enabling data-driven decision making and faster onboarding for product and data science teams.
May 2025: Delivered targeted documentation to support reliable experimentation around interaction detection within the Eppo platform, focusing on assignment dependence and interaction effects. The work provides practical guidance, examples, and statistical methods for detecting and interpreting interaction alerts, enabling data-driven decision making and faster onboarding for product and data science teams.
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