• Assessed macroeconomic indicators to predict market movements using Python, aiding the team in making investment decisions that surpassed benchmark by 10%.• Implemented statistical models to forecast market trends, improved the prediction accuracy by 20% compared to traditional method.• Engineered innovative macros within spreadsheets that streamlined the process for generating economic reports, reducing report generation time by 35%.

• Streamlined report generation processes within the finance team by leveraging advanced Excel functionalities, improving auditing efficiency by 15% while producing operation reports in Excel.• Refined quarterly P&L forecasting techniques by leveraging predictive analytics on past performance, resulting in a 10% boost in forecast reliability and minimizing budgetary inconsistencies for future planning cycles.• Conducted financial statement analyses for quarterly reports and presented actionable insights to executive leadership, leading to strategic cost-saving initiatives that resulted in a total of 10% savings on operating budgets.

• Collected and analyzed financial market data to create comprehensive investment reports, providing strategic insights that informed decisions for a portfolio exceeding $1M in total assets under management. • Collaborated with diverse departments to incorporate new data streams into existing reports, achieving a significant reduction of 30% in report generation time. • Evaluated emerging market data from three sectors to identify investment opportunities with a potential return of 22%. • Accessed economic modeling outcomes and suggested improvements, resulting in a reduction of forecasted error by 5%

• Collaborated in the preparation of client presentation materials, which increased sales successful rate by 11%.• Analyzed financial market data and delivered tailored presentations, increased client satisfaction rate by 17%.• Coordinated a team of 7 interns, generating financial insights and highlighting key market trends from news sources.