A Business Intelligence professional with five years of experience in directly interfacing with internal clients, managing the entire process from request investigation to the development of tailored analyses and studies that account for business-relevant features. Proficient in data integration utilizing SQL and Python, adept at crafting business metrics monitoring dashboards, and skilled in collaborative information modeling with clients. Metrics analysis includes support area ticketing, Mean Time to Engagement (TME), Mean Time to Acknowledge (TMA), Mean Time to Solve (TMS), commercial metrics, upsell, downsell, churn rate, and average ticket size.