I am a Data Analyst and Business Intelligence specialist focused on transforming operational data into strategic, actionable decisions. I combine advanced SQL, Python, Tableau, Power BI, and predictive modeling to create dashboards, data pipelines, and analytical solutions that identify risks and opportunities in real time.
I bring nine years of managerial and operational leadership experience from Aeroméxico, where I worked in high-pressure environments involving compliance, safety, process optimization, stakeholder coordination, and customer service. This background allows me to connect technical analysis with practical operational needs.
I specialize in translating business requirements into efficient SQL queries, well-documented processes, user stories, technical specifications, and validation protocols. I am experienced with complex joins, CTEs, window functions, query optimization, relational data structures, and automated reporting workflows.
My analytical approach includes exploratory data analysis, statistical testing, A/B testing, data cleaning, quality assurance, and machine learning. I have developed projects using Python libraries such as Pandas, NumPy, SciPy, Scikit-learn, LightGBM, XGBoost, and SHAP to generate reliable insights and predictive models.
I am comfortable working in Agile and Waterfall environments, supporting release management, data governance, change adoption, and cross-functional collaboration. I prioritize clear communication and consultative problem-solving so that technical solutions are understood and adopted by business stakeholders.
I am motivated by operational excellence, continuous improvement, and building scalable data solutions that reduce manual work, improve data integrity, and support better strategic decisions.
