• Utilized SQL and Python for data manipulation and analysis, optimizing manufacturing processes and reducing production costs by 30%.• Created data visualizations with Tableau and Power BI, presenting insights to stakeholders and increasing operational efficiency by 20%.• Extracted insights from Google Analytics to meet market demands, driving export growth.• Leveraged machine learning techniques to predict manufacturing outcomes, improve production schedules, and enhance overall system performance, contributing to significant operational improvements and increased profitability.• Analyzed supply chain data to optimize inventory management, ensuring timely deliveries and reducing operational costs by 15%.

• Conducted an analysis of Advanced Excel datasets on sales to derive actionable insights and improved operational efficiency by 10%, annual profit growth of $10,000 in the first year and sustained 20% year-on-year growth. • Utilized regression analysis and predictive modeling to analyze key drivers of growth, market trends and areas for improvement. • Implemented data-driven decision-making processes that optimized marketing strategies, increasing customer retention by 30%.