Abhilipsa Seemani enhanced the PSIAIMS/CAMIS analytics platform by developing comprehensive ANOVA Sum of Squares tables, supporting Type I, II, and III calculations within the ANOVA workflow. She implemented these features using Python, R, and SAS, enabling nuanced variance partitioning and improving the interpretability of statistical analyses. Her approach included rigorous cross-validation of results across languages to ensure accuracy and consistency, addressing the lack of a direct Python equivalent for Type IV. This work deepened the platform’s statistical analysis capabilities, improved reporting clarity, and provided robust tools for business-oriented data analysis, reflecting a strong command of statistical methodologies.