Streamlined data pipeline processes, including cleaning and validation, reducing data errors by ~20% and ensuring high-quality datasets for robust analytical outcomes.
Conducted in-depth exploratory data analysis on 50,000+ records using statistical methods, identifying critical trends that informed strategic business decisions and enhanced operational efficiency.
Optimized data retrieval and accessibility by leveraging SQL for complex data extraction and aggregation across diverse relational databases, improving query efficiency by 15%.
Developed 5+ compelling, interactive dashboards with Power BI and Excel, significantly enhancing stakeholder communication and facilitating data-driven insights for 3+ departments.