Data Architecture & BI Agent with MCP, n8n, and Superset
Next-gen analytics platform integrating LLMs via the Model Context Protocol (MCP) for natural language querying, with n8n workflow orchestration and Apache Superset visualization.
Information Systems Engineering student at UTN FRC. Specializing in **ETL/ELT pipelines**, **workflow orchestration (n8n)**, **LLM integrations via MCP**, and business intelligence platforms like **Apache Superset** & **Power BI**.
B.Sc. Systems Engineering
UTN FRC β Univ. TecnolΓ³gica Nacional (In progress)
Data Science Bootcamp
Henry Bootcamp (700 hours practical)
Mechanical Technician
SENAI PetrΓ³polis (Process Control & SPC)
Consolidated expertise paired with modern Analytics Engineering tooling.
Highlighted end-to-end data pipelines, MLOps, and BI automations.
Next-gen analytics platform integrating LLMs via the Model Context Protocol (MCP) for natural language querying, with n8n workflow orchestration and Apache Superset visualization.
End-to-end data pipeline transforming raw nested JSON telemetry datasets into optimized Parquet storage, powering a real-time FastAPI recommendation engine.
NLP data pipeline evaluating hotel guest reviews to classify customer sentiment, uncover operational friction points, and drive service quality improvements.
End-to-end Telecom analytics dashboard identifying key revenue drivers and customer churn patterns to power retention strategies using SQL, Python, and Power BI.
Full-stack containerized web platform built with Django 6 and Python 3.13, managed with uv, and architected for zero-cost high-availability deployment on AWS Cloud.