Software Engineering student specializing in Data Science, with hands-on experience in data pipelines, automation, analytics, and machine learning (clustering). Proven ability to reduce operational effort and deliver data-driven solutions that support business decisions and process optimization.
Built ETL pipelines and automated data processing (Python, PostgreSQL), reducing operational time by 50%, and developed dashboards and clustering models to support data-driven decisions and customer segmentation.
Led the development of a management system for a printing business, designing a microservices architecture, data model and backend components to support the digitalization of operational processes.
Analyzed sales and customer data using Python, automated reporting processes, and generated key metrics to support business decision-making.
