I am an economist and data scientist, specialized in machine learning. I have a solid background in mathematics applied to business, statistics, and econometrics, as well as in computer science. My experience focuses on financial analysis, using algorithms, techniques, and statistical tools to collect, organize, and utilize data with the goal of improving investment performance.
Likewise, I have knowledge in risk management, fraud detection, and the optimization of financial operations. I employ advanced analysis methods to evaluate investment portfolios and provide data-driven strategic recommendations. In terms of computer tools, I am proficient in various areas. I have expertise in business intelligence using Excel and PowerBI, as well as programming languages such as Python, R, JavaScript, HTML, and CSS. Furthermore, I have experience working with relational databases like MySQL and non-relational databases like MongoDB.
I am skilled in managing large volumes of information and implementing machine learning techniques to identify patterns and trends in financial data, which in turn allows for optimizing decision-making at the managerial level.
I am a results-oriented individual, dedicated and passionate about financial data analysis. My ultimate goal is to leverage my professional experience to assist companies in optimizing their operations, mitigating risks, and maximizing their investments.