- Collaborated with production line supervisors to orchestrate a report automation initiative, leveraging SQL-based automated workflows for streamlined data collection and integration.- Implemented DMAIC Six Sigma methodology to achieve a remarkable 70% reduction in daily data entry and collection times, diminishing it from 70 minutes to just 10 minutes

Utilized Python's Pandas library and Microsoft Excel to conduct in-depth analysis of production line data, identifying and dissecting errors related to input accuracy, duplication, and formatting inconsistencies.• Executed strategic initiatives, leading to a 10% weekly reduction in data entry errors, resulting in substantial efficiency gains with an average of 35 minutes saved per report.

• Co-designed interactive dashboards with senior analysts, reducing staff turnover by 35% within a 3-month timeframe.• Systematically modernized data analysis methodologies through the strategic application of Python and SQL, amplifying executivecomprehension of intricate issues within expansive datasets.• Spearheaded the development of innovative Key Performance Indicators (KPIs) to measure employee burnout, enabling thetransformation of data insights into actionable metrics.