RAYMOND Amapakabo

– Designed and deployed 8 Tableau dashboards covering sales performance, customer segmentation, and supply chain efficiency – used by 200+ stakeholders – Applied machine learning clustering (K-Means) to segment 500K+ customer profiles, enabling targeted marketing campaigns that improved conversion by 18% – Optimized SQL queries on BigQuery data warehouse, reducing report generation time from 4 hours to 25 minutes – Collaborated with product teams to define and track OKRs and north star metrics, translating business questions into measurable data outputs

– Analyzed clinical patient datasets (50K+ records) to identify patterns in treatment outcomes, contributing to a 12% improvement in resource allocation efficiency – Built automated Python pipelines to clean and validate EHR data from 5 hospital systems, improving data quality scores by 35% – Created Tableau dashboards for hospital management teams to monitor bed occupancy, patient flow, and operational KPIs in near real-time – Supported statistical analysis for a public health study on disease prevalence using R, resulting in a published internal report distributed to 3 NGO partners