Alexandre Da Costa Email & Phone Number

Portugal

Sorocaba, São Paulo, Brazil

At Schaeffler, I carry out data integration for Aftermarket Americas. To fulfil this task, I make use of cutting-edge technologies, including Microsoft's Azure platform, Azure Data Factory, Azure Synapse and Databricks, which play key roles in data extraction and processing. My work focuses on extracting valuable information from the available data, and this includes creating machine learning models specialising in forecasting. I am also responsible for the ongoing maintenance of the data pipelines, ensuring that the integration and flow of information takes place effectively and without interruption. For consumption, I make the data available in a Data Market using Microsoft Fabric and integrate it with Power BI. With Data Viz I build and maintain dashboards.

At Geoambiente, I use my expertise in Python, Geopandas, ETL (Extract, Transform and Load), Machine Learning, Data Analysis, SQL, databases, Google Cloud Platform (GCP), data warehouse, GitHub, REST API and Docker to create, train and implement machine learning models, as well as creating and maintaining geographic data pipelines. My work involves ensuring the efficiency and automation of data processing, from ingestion to final transformation, while guaranteeing the portability and consistency of work environments through the use of Docker. I use these skills to tackle complex challenges, extract valuable insights from geographic data and provide efficient solutions for data manipulation, analysis and modelling.

Sorocaba, São Paulo, Brazil

During my time at Schaeffler, I gained experience and skills in several areas. My main responsibilities included collecting and processing data obtained from sensors, writing reports in English based on this data, organising the work environment using the Kanban method, drawing up tables to better organise stock and presenting solutions for mechanical adaptations.I used my English communication skills to write detailed reports, providing relevant analyses and insights based on the data collected. I also worked with the Kanban method to ensure the organisation and efficiency of the work environment, making it easier to visualise and monitor tasks in progress. In addition, I used tables to optimise stock organisation, making it easier to identify and access the materials needed.