Develop high-visibility AI/ML projects across the firm.

Develop a self-servicing data governance business process for a $80M Digital Transformation Program that covered from key metrics gathering to change management through Collibra Data Platform.

Cross functional Analytics Engineer responsible to develop data models and ad-hoc big data analysis to several company's functions - including Finance, UI/UX, and Sales - using Python, SQL, and AWS. Responsible to acquire and deliver busines requirements to external clients that engaged with our company to understand our user's purchase patterns.

Financial Advisory Senior Consultant responsible to manage and implement Data Analytics and Digital Transformation projects for a broad range of clients from Mining and Paper & Cellulose industries. Advocated Agile and Data Analytics to multiple internal teams and clients to advance our new Analytics practice. Notable achievements:- Led transformation of team’s culture to leverage Agile and DevOps development practices and newer toolset to deliver several projects using Python, Microsoft SQL Server, and Tableau- Created and delivered 4 complete data pipelines and dashboards for 3 major Brazilian companies of Mining and Paper & Packaging industries using SQL Server, Integration Services, Excel, Power BI, and Tableau- Developed a dashboard to train wheel maintenance which measured wheel maintenance stats to track maintenance demand and scheduling, resulting in savings of $1M per year by postponing purchases and avoiding ineffective repairs

Supply Chain & Operations Business Analyst responsible to operate PMO and Supply Chain Performance Improvement projects for Brazil's largest Oil & Gas and Mining companies. Notable achievements:- Developed a non-linear algorithm that evaluated 11 different scenarios so management could decide next year’s project portfolio. Conserved $1.6M by prioritizing maintenance projects of Oil Rigs while improving client’s global maintenance KPI and complying with local regulations- Led a team of 6 business analysts responsible for overseeing offshore logistics of spare parts for Oil Rig maintenance projects. Managed three concurrent projects with over 6K SKUs from onshore warehouse to offshore preparation to execute project’s task- Collaborated cross functionally to pioneer a data integration solution to manage a portfolio of 11 projects, with $220M budget. Implementation improved accuracy and speed of purchasing, scheduling, and engineering reports by minimizing project changes and conducting more efficient meetings

Ideated team’s data pipeline. Reduced total time spent on data refreshing from 32 to 1 man-hour/month (-96%) by integrating Excel and SAP BW. Human error reduced to zero.