Sucharitha Reddy Gaddam

Designed and implemented analytics evaluation frameworks across descriptive, predictive, and prescriptive analytics — covering regression, hypothesis testing, ANOVA, chi-square analysis, forecasting, optimization, dashboarding, KPI interpretation, and decision modeling — assessing 700+ deliverables across 3 semester-long project cycles and establishing program-wide analytical standards. Executed hands-on validation of statistical outputs, ML model assumptions, dashboard narratives, and evidence-based recommendation logic, identifying and resolving methodological errors across all deliverables. Standardized QA frameworks and scoring rubrics across multi-section coursework, enforcing consistent assessment of data engineering implementations, BI outputs, and analytical pipelines at scale. Led technical training on Excel Data Analysis ToolPak, R statistical workflows, Tableau dashboards and stories, forecasting models, and spreadsheet-based decision models — enabling independent development and deployment of end-to-end analytical solutions.