Anusha Dhiman

Built an internal automation tool using Python that cut data preperation time from hours to 5 minutes, significatly
reducing manual efforts and speeding up onboarding workflow.
◦ Translated client business requirements into clear KPI definitions and dashboard logic, defining calculation rules,
filters, and metrics to ensure accurate analytics on dashboards and applications.
◦ Used SQL and Excel to extract, clean, standardize, and validate large FMCG datasets, performing pivot-based
reconciliation and anomaly checks to ensure accurate KPI reporting.
◦ Created and maintained client-facing process documentation defining the end-to-end project lifecycle, including
responsibilities, timelines, and delivery milestones, improving alignment and expectation-setting with clients.
◦ Collaborated with cross functional teams, and client-facing teams to determine feasibility, scope and ensure
product accuracy, and timely delivery