Enhanced user engagement by 20% through the development of interactive Power BI dashboards, effectively resolving complex data visualization challenges.
Streamlined data preparation by 25% for Power BI reports by utilizing Python (Pandas, NumPy) to efficiently clean and preprocess large datasets exceeding 10 million rows.
Automated critical reporting processes by integrating Power BI with Power Automate, which reduced reporting time by 30% and significantly improved operational efficiency.
Collaborated with the SLA team to monitor and analyze service level agreements, proactively identifying breach risks, and recommending corrective actions to maintain compliance.
Translated ambiguous stakeholder requirements into dynamically interactive dashboards, boosting decision-making efficiency by 20% for key business users.