General.– Generated value from various data sources by providing service and support to finance management through automation processes, designing dashboards and making machine learning models.1. Develop and management projects of Machine Learning using agile methodologies such as Scrum and techniques including Computer Vision, Natural Process Language (NLP), binary and multi class classification (Logistic Regression, Super Vector Machine and Random Forest), and Named Entity Recognition (NER). Achieved structuring of fixed asset data and mining it to calculate the Total Cost Ownership (TCO).2. I built a Machine Learning Model using a tecnique called Named Entity Recognition (NER) to extract key information from unstructure strings; the model's metrics were around 94% among recall, precision and f1-score. 3. Redesigned the accounting architecture with a cost system for productive accounting departments, aiming to improve accounting records and better reflect operational realities to support decision-making.4. Promoted Data Analytics and Data Science by providing training about on technological tools such as Alteryx, Python and Power Bi, for both finance and operational areas.5. Executed business cases to draw conclusions from both financial and operational data, such as calculating from maintenance cost at five last years.6. Designed dashboards for presenting results and conclusions from various sources, using ETL tools such as Alteryx and Power Bi.7. Maintained records of our analytic processes through documentation such as procedures, logs and workflows related to the business cases developed by the department.8. Designed executive presentations using storytelling including keys as storyboard as suitable graphs to explain the results about the business cases.

General.– Generated information by providing critic insights, reporting and finance conclusions for the investments.1. Generated quarterly production reports by providing results of mining operations, including ore grades, tons of ore moved, and tons of ore produced.2. Generated quarterly cost production reports by providing cost element amounts including operational labor, contracts, power and energy, consumables and other expenses.3. Supported in preparing annual presentations for senior management, covering operational performance, new projects and insights for finance planning.

General.– Acted as a critical area supporting sales, design, and production to evaluate the cost of the process of manufacturing corrugated cardboard boxes.1. Maintained cost evaluation for the production of corrugated cardboard boxes from sales area requirements gathering to obtaining productive evaluation from the design and production areas.2. Conducted a three-year historical sales analysis to identify the top ten customers, with the goal of designing sales strategies and budgeting for manufacturing supplies. 3. Managed inventory master data for all products manufactured by the company, from recording new products to controlling changes for existing products. 4. Developed Visual Basic for Applications (VBA) scripts (macros) to enhance productivity and efficiency, and reduce the likelihood of errors.

1. Planeación de la producción de hasta 150,000 piezas diarias de los diversos productos ofertados a partir de la capacidad instalada, existencias de inventarios y demanda de ventas. 2. Generación, supervisión y aseguramiento de órdenes de trabajo de hasta 66 máquinas determinando requerimientos de material y otros elementos críticos para la producción. 3. Determinación de clientes que concentraban el 80% de nuestras ventas de cada uno de los siete productos que se fabricaban para la generación de estrategias. 4. Estudio del pronóstico de la demanda de forma mensual, así como también la determinación de la tendencia con errores del .05% entre la real y la pronosticada. 5. Incremento en el nivel de atención de pedidos de los siete productos ofertados con una mejora del 27%.