Python | R | SQL | Software Development | Data Analysis | Modeling | Automation

Analysis of São Paulo's public transit network vulnerability and resilience using Graph Theory and Network Science on SPTrans GTFS data. 22K+ nodes, 29K+ edges. Identifying critical bottlenecks and proposing strategies for improving the system's robustness and efficiency. Python NetworkX Folium Geopandas Pandas GTFS Graph Theory Network Science

NLP pipeline for processing and analyzing Brazilian legislative discourses. Python NLP Sentiment Analysis Topic Modeling Text Summarization Data Visualization Transformers Streamlit

• Database of a Digital Signature Management System for Hospital Israelita Albert Einstein SQL SQL Server Database Modeling Data Analysis

• Diabetes Predictive Model for Central Nacional Unimed - CNU SQL PL-SQL Predictive Modeling

Analytics Analysis Analytics Data Analysis Data Visualization

• Software Development, B.Tech
• Artificial Intelligence and Machine Learning, Specialization
• Applied Mathematical Methods, Specialization
• Information Technology, B.Sc. (with emphasis in Data Analysis) - interim degree of Data Science B.Sc.

	School / Institution	Workload	Progress
Data Science Bachelor's Degree	UNIVESP	3500h
Robotics Specialization	UFV	420h
Advanced Python Specialization	UTFPR	360h
Statistics IV	Prandiano	50h
Agents	PUC	30h

Data Science · Artificial Intelligence · Blockchain · Drones · Photography · Statistics · Mathematics · Operations Research