Analyst
• Collaborated with the National Partnership team to build an automated dashboard using Power BI and SQL to monitor business expansion and uncover key growth opportunities.• Performed data cleaning and EDA on inventory data using Pandas, NumPy, Matplotlib, and Seaborn, uncovering overspending patterns and achieving a 30% reduction in monthly inventory expenditure.• Implemented SQL queries to identify key areas of financial inefficiencies, leading to a 20% reduction in operational costs.• Managed stakeholder relationships and operated within the CEO’s office to deliver insights that influenced strategic decision-making.