Miguel Polanco

Conducted online research and data evaluation to verify and compare information from various sources, ensuring accuracy and relevance based on provided guidelines. Analyzed and assessed geographic, business, and cultural data to determine its applicability to different task types, including maps, news, and social media relevance. Performed diverse research tasks in a web-based environment, followi

Optimized financial reporting by automating data integration across multiple systems, reducing reporting time by 40%. Developed financial dashboards using SQL and Tableau, enhancing real-time data tracking and improving forecasting accuracy. Analyzed sales performance data, identifying trends that led to a 10% increase in revenue through predictive analytics.

Managed a private investment fund, leveraging market data analytics to optimize portfolio returns by 12%. Developed risk assessment models using Python and Monte Carlo simulations, reducing exposure to market volatility. Designed machine learning-based stock screening models, increasing trading efficiency by 15%.

Developed financial forecasting models in R and Python, increasing cash flow accuracy by 15%. Managed liquidity strategies, optimizing fund allocations and maximizing investment returns by 10%. Created automated financial reports using Excel VBA and SQL, improving reporting efficiency by 35%.

Grade: 4.25/4.5

Completed a Postgraduate Diploma in Business Analytics and Insights. Achieved a GPA of 4.25/4.5.

Grade: 3.5/4.0

Obtained a Bachelor's Degree in Financial Management and Auditing. Graduated with a GPA of 3.5/4.0.