• Data processing and modeling, understanding, and application of business rules alongside the client.
• Data ingestion, data pipeline and troubleshooting of DB queries & Spark.
• Requirement gathering, project presentation, and scoping.
• Extensive knowledge in technical documentation, delivered to the client, data governance, and PCP team.

• Developed dashboards, reports, data analyses and insights that were delivered and presented to the board, Customer Success department, Marketing, and Commercial Planning area.
• Automated data load updates in the CRM using SQL and Python.
• Automated the process of data enrichment through external public data platforms for the CRM to enhance accuracy and provide personalized product and service offerings for each client.
• Contributed to the creation of data dictionaries and documentation for the DBA team.

(Data-driven BI Project Implementation)
• Structured, mapped, centralized, and standardized data sources, spreadsheets, CRM, SAP ERP, APIs, and MySQL databases.
• Proposed and implemented BI tools (Microsoft Power BI), set delivery goals, deadlines for each project, and conducted data analyses with delivery to the board of directors and senior managers.
• Automated manual processes, resulting in time savings and increased productivity.
• Developed dashboards and reports for the commercial and logistics areas (web version and mobile version).
• Conducted training for tool users.
• Created project documentation.

• I Reduced manual processing time by 90% by creating and refining a 24/7 automation across six physical machines, significantly lowering operational labor costs.
• Replaced AutoHotkey scripts with Python solutions, resulting in a 30% reduction in automation errors, increasing process reliability and intelligence.
• Optimized reports in Excel and Tableau using VBA and SQL, providing faster and more reliable insights, which positively impacted strategic decision-making.
• Implemented BI tools to migrate large datasets from Excel and Data Warehouse data analysis to Tableau, automating information loading and centralization, which reduced the response time for monthly analysis delivery by over 50%.
• Created dynamic Power BI reports that consolidated regional automotive parts pricing data, enabling faster and more accurate decisions. This resulted in a 20% savings on parts procurement costs and increased team productivity.

• I automated the delivery of daily reports and "Poka Yoke" control, ensuring that reports were sent to management and the entire engineering team in the Assembly department, reducing manual work time by over 70%.
• I designed auxiliary devices for specific automotive panel and air conditioning assemblies on the production line. With these devices, the assembly processes were improved, and panel losses were reduced to 0%.
• I conducted analysis and resolved fluid infiltration issues in cars after the "rain test" performed in the testing cabin. This involved identifying and solving issues in the final car process related to infiltration, requiring collaboration with various departments and data from the factory, such as Body Shop, Paint Shop, and Assembly Shop, to resolve the issue.
• I analyzed and proposed improvements in the mask production process during COVID-19 to save time, optimize, and increase mask production.
• I worked alongside the engineering team to improve processes in the "Power Train" area engine assembly, and subassembly areas.
• I had the opportunity to participate in the project for the new Tiggo 3x turbo, being involved from the initial design and prototyping stages to the final production line.

• Specialization in various technologies and languages such as Python, Spark, Kafka, R, Julia, SQL, MongoDB, the Hadoop ecosystem, and Machine Learning algorithms, with a focus on solving business problems .

• Specialization in exact sciences and logical reasoning, including solid mechanics, thermodynamics, control systems, automation, and industrial processes, with a focus on mathematical modeling and problem-solving in engineering.