Pioneered cutting-edge forecasting solutions across diverse domains, leveraging sophisticated statistical methods and machine learning techniques to deliver unparalleled predictive accuracy:

• Award-Winning Financial Time Series Analysis: Spearheaded groundbreaking research in financial time series, earning recognition as the best Master’s thesis at the Instituto Politecnico Nacional. Demonstrated exceptional analytical skills and innovative approaches to complex economic data.
• Multi-National Consumer Price Index Forecasting: Engineered a robust comparative study of ARIMA models versus Ensemble Machine Learning techniques for predicting Consumer Price Indices in Germany, France, and the United States. Uncovered key insights into international economic trends and forecasting methodologies.
• Large-Scale Retail Demand Forecasting: Architected a scalable Multiple SKU time series forecasting system for a major supermarket chain, significantly enhancing inventory management and reducing stockouts across thousands of products.
• AI-Powered Electric Load Prediction: Developed an advanced electric load forecasting model integrating natural language processed features with state-of-the-art quantile regression convolutional and transformer neural networks. Achieved unprecedented accuracy in predicting energy demand fluctuations.
• Market-Driven Energy Price Forecasting: Revolutionized Local Marginal Price predictions in the Mexican Electricity Wholesale Market by implementing a hybrid model combining Deep Learning and Autoregressive Vectors. Empowered stakeholders with highly accurate price forecasts, facilitating optimal decision-making in a volatile market environment.