Data & Automation Engineer

Developed end-to-end automation solutions for administrative, financial, banking, tax, and healthcare processes using Power Automate Desktop, Power Automate Cloud, Python, SQL, APIs, document processing, and database integrations.

Built a healthcare authorization and medical audit automation integrating Power Automate with Azure Document Intelligence. The solution processed invoices, authorizations, audits, and image-based documents, validated information, and loaded results into a billing system, reducing operational hours by approximately 60%.

Designed a bank statement processing pipeline for multiple accounts and banking formats. Implemented PDF extraction, cleaning, transformation, structuring, validation, database reconciliation, and system loading with Python, reducing manual processing effort by approximately 70%.

Created tax-process automation for real estate operations, including access to tax platforms, document downloads, reading, validation, and loading into a real estate management system. Also provided production support, incident analysis, client communication, technical documentation, and continuous-improvement contributions.

Developing an automated solution for competitor analysis and product positioning using data collected through APIs. The project integrates product and market data extraction, processing, automation, and visualization for commercial decision-making.

Using Python, Supabase, Streamlit, Gemini, Ollama, and Mercado Libre APIs to build an evolving market-monitoring product. The project includes experimental AI-agent functionality and is designed to scale on cloud infrastructure.

Second-year student; degree currently in progress.

Completed a diploma program in Python.

Completed training in Data Science.