Develop analytical tools using Power BI and Streamlit on Snowflake to support commercial and operational decision-making. Build and maintain data extraction and integration infrastructure processing over 200,000 daily records from SQL and NoSQL databases. Lead the evaluation and selection of the company's Data Lake solution, implementing Snowflake as the central platform for the organization's analytics ecosystem. Design real-time monitoring dashboards integrating PLC, SAP, and SQL Server data sources with 10-minute latency, enabling faster production adjustments. Implement a scalable Snowflake architecture supporting machine learning, deep learning, and AI agent development to strengthen advanced analytics capabilities. Develop AI agents within Snowflake that enable natural-language interaction with organizational data, improving accessibility and data-driven decision-making across teams.

Developed advanced analytics solutions to improve commercial efficiency and led automation initiatives that significantly increased operational performance. Structured business cases and budgets aligned with strategic objectives, justifying investments of $1.8M to ensure continuity of key projects. Led the implementation of Power BI data visualization solutions, standardizing information from multiple sources and managing key databases. Coordinated a 5-member team supporting critical commercial processes, ensuring efficient execution aligned with business goals. Implemented data quality control and assurance processes, enabling early detection of discrepancies and reducing operational variances. Coordinated data migration to more efficient platforms, improving data accessibility and reliability by 25%.

Developed digital tools, including dashboards, ETL pipelines, and low-code solutions, to enhance operational and financial processes. Supported implementation of WMS and CRM systems with a strong focus on database management and supply chain/finance process optimization. Implemented forecasting-based procurement and reorder point strategies, reducing response times by 10% and operational costs by 2%. Led development of a BI solutions portfolio using Power BI, Python, and low-code tools, enabling new digital products for the loyalty area.

Managed and analyzed data related to customer loyalty programs and sales force performance using Power BI, Power Pivot, Power Query, SQL Server, and Python. Implemented SQL Server stored procedures to automate settlement processes, reducing evaluation time for promotional mechanics by 50%. Identified key strategic actions that improved customer loyalty, contributing to a 10% increase in sell-in. Developed customer segmentation models using DBSCAN clustering to identify new customer groups, enabling tailored marketing strategies and optimized resource allocation.

Ensured accurate freight validation before billing and managed delivery confirmations to support client integration processes. Achieved a 20% reduction in invoicing and delivery confirmation lead times by implementing process automation using Python, Power Apps, and Power Automate. Built Power BI dashboards enabling real-time KPI monitoring and data-driven decision-making.

Supported engineering, production, procurement, and administrative operations, redesigning the production facility layout to improve workflow efficiency and resource allocation. Led the evaluation and design of a technology modernization roadmap, developing a project proposal that fulfilled 95% of the organization's strategic needs and accelerated digital transformation.