Holding a Bachelor's Degree in Engineering and a Master's Degree in Data Science and Analytics, I'm completely passionate about data science and analytics, with a particular focus on leveraging machine learning and data analytics to extract insights for business growth. My experience centers on multinational corporations with millions of employees, where I've tackled massive datasets comprising billions of rows. Currently, I'm employed at AB InBev, the world's largest brewer based in Belgium, overseeing iconic global brands such as Budweiser, Corona, and Stella Artois. In my role, I specialize in designing and deploying analytical and statistical models to unearth valuable insights, empowering informed decision-making across the organization.
Find my daily technologies below.
-
Method: Supervised Classification
One of the major problems faced by delivery companies is DELAYED DELIVERIES. In light of this, the idea emerged to create a predictive analysis using machine learning models to anticipate whether a delivery will be delayed or not based on the data collected from orders. There are no solid premises regarding the reasons for delays, only that, given that the datasets used are in a snowflake schema, a filter was applied to analyze only motorcyclists, always in the food segment, with delivery status always marked as delivered and order status as finalized.
-
Method: Exploratory Data Analysis
The incidence of violence against women in the state of Minas Gerais represents a significant social concern. The lack of detailed analysis of available data hinders the understanding of patterns, critical areas, and underlying factors of this phenomenon, thereby impeding the implementation of targeted and effective strategies to combat this issue. In light of this, the idea emerged to create a exploratory data analysis using data from the State of Minas Gerais from Brazil.
-
Brazilian Education in Indigenous Territories
Method: Medallion Architecture in Data Lake using Azure
Education is a crucial aspect of human and social development, playing a fundamental role in creating more just and egalitarian societies. Brazil, with its diversified cultural composition and numerous ethnic groups, including indigenous communities that contribute significantly to the nation's identity, requires special consideration for indigenous education. It is important to prioritize the preservation of cultural traditions and the empowerment of native communities. Due of this, it will be built a data lake environemnt using Azure using the medallion architecture, performing ETL and the final analysis.