At Carl Zeiss do Brasil, I documented the order intake forecasting process aligned with fiscal targets. I also created and maintained Power BI dashboards and integrated APIs to consolidate data in a Databricks Lakehouse environment.
At Docway, I developed and curated data pipelines on Azure Databricks and built a forecasting model with a Power BI tool to suggest staffing levels for medical demand. I also developed operational dashboards and KPIs for near-real-time monitoring.
At Saint-Gobain Abrasivos, I assembled and transformed datasets and built machine learning models for forecasting, classification, and clustering. I also created data-cleaning pipelines and prototyped an on-premise Hadoop data lake.
