Lucas Gabriel Martins de Oliveira is an economist with expertise in macroeconomics, time series forecasting, and economic modeling. He specializes in nowcasting and forecasting models for GDP, inflation, and other macroeconomic indicators, using advanced techniques in R and Python. His work integrates machine learning, neural networks, and dynamic factor models to deliver accurate, real-time predictions.With a strong foundation in quantitative macroeconomics, Lucas focuses on semi-structural DSGE modeling, including fiscal and monetary policy analysis, Taylor rules, and risk premium dynamics calibrated to Brazilian economic data. His technical skills extend to data science applications, where he processes large-scale datasets from platforms such as FRED, IBGE, and ECB APIs, using tools like Python and R for data scraping, cleaning, and analysis.In addition to his professional pursuits, Lucas is an experienced adjunct professor at the University of Brasilia, where he teaches courses in Introduction to Economics, Brazilian Economic Formation, and Macroeconomics. His academic interests also include the intersection of cryptocurrency, blockchain, and economic policy, with practical experience in cryptocurrency trading and arbitrage strategies.Lucas is committed to applying cutting-edge data science and economic modeling techniques to inform decision-making and drive impactful insights in policy and market analysis.