Eunice Wamaitha Njuguna

Built interactive Power BI dashboards for tracking campaign ROI across 12 marketing campaigns, reducing reporting time from 3 days to 6 hours and enabling real-time budget decisions. Analyzed CRM data for 50,000+ customer records to identify high-value segments and reduce churn by 8% over 6 months via a targeted retention strategy. Automated weekly sales reporting using Excel VBA and SQL, saving 10+ hours per month; forecasted demand for 78 SKUs to improve inventory turnover by 6% and reduce stockouts. Produced monthly executive summaries for non-technical stakeholders.

Analyzed environmental datasets on energy consumption and waste reduction to identify optimization opportunities. Designed Tableau dashboards to visualize project impact metrics for real-time tracking of sustainability goals. Cleaned and standardized raw environmental data from multiple sources (Excel, CSV, and APIs) to improve accuracy.

Delivered end-to-end data analysis projects for 5+ international clients across retail, finance, and logistics. Built predictive sales forecasting models using Python (pandas, scikit-learn) and ensured data quality by cleaning and transforming 100,000+ row datasets with SQL and Python. Managed project timelines independently, delivering all projects on time while maintaining strong client relationships.