May 2025 monthly summary for nikbearbrown/Humanitarians_AI focused on documentation and onboarding improvements. Delivered Project Documentation Updates to consolidate and clarify project information during the leadership transition. Updated README content and project lead details to reflect governance changes, enhancing transparency and contributor onboarding.

Month: 2024-12 | Focused on delivering practical data preprocessing capabilities for the INFO_7390: Art and Science of Data project. Added two Jupyter notebooks demonstrating data preprocessing: (1) missing value imputation strategies (mean, median, random sampling, end-of-distribution imputation) and (2) scaling techniques (Min-Max Scaling, StandardScaler) with handling of categorical variables. These notebooks bolster data quality, reproducibility, and teachable patterns for downstream modeling. Minor or no bugs reported this month. The work strengthens data wrangling practices, accelerates onboarding for new analysts, and provides ready-to-run examples for the course/research repo.