Financial Economist and Data Analysis Specialist with solid experience in data-driven decision-making through actionable insights. Throughout my career, I have led key projects that combine financial analysis, data science, and process optimization, achieving substantial improvements in operational efficiency.My key skills include:• Data analysis and visualization: Expertise in tools such as AWS QuickSight, Power BI, and Tableau for creating interactive dashboards and reports that accelerate strategic decisions.• Financial modeling and process optimization: I have optimized financial models using advanced analytical tools, automating reporting processes and reducing analysis time by over 90%.• Big Data processing and practical cloud migration: Extensive experience in migrating reports and visualizations to cloud-based data architectures (AWS) and implementing data pipelines through SQL (MySQL, AWS Athena), maximizing efficiency and significantly reducing processing times.• Automation and optimization: Specialist in Excel, Power Pivot, Python, and R Studio for automating processes and generating financial and analytical models, saving hours of daily work.• Data science: Proficient in Python and R for statistical analysis and implementing models that enhance decision-making.• Artificial Intelligence: Skilled in Prompt Engineering and familiar with no-code tools like KNIME, as well as algorithms in Python and R for developing machine learning models to improve data-driven solutions.• Positive Leadership and Project Management: Committed to fostering a positive and collaborative team environment, leveraging skills from my Google Professional Project Management certification to effectively lead cross-functional teams, ensuring projects are delivered on time and aligned with strategic goals.I have worked with multidisciplinary teams and provided critical insights at the executive level, helping to enhance profitability and align business strategies with data-driven solutions. I am committed to driving digital transformation in Mexico, using data as a catalyst for change and innovation.