I'm a Software Engineering student at Univates with a focus on learning about Data Intelligence and Cloud-Native Architecture.
Working in a corporate environment (Tramontina), I'm gaining valuable experience that connects the rigor of Engineering with cutting-edge Data Science solutions.
| Category | Key Technologies |
|---|---|
| Data Science & ML | PySpark and Databricks (Scalable processing), Predictive Modeling (LSTM, N-BEATS, Prophet), Pandas |
| Languages | Python (Intermediate/Advanced), Java (Intermediate) and SQL (Advanced) |
| Other Tools | Git/GitHub, Power BI, Mendix (Low-Code) |
I'm constantly improving, focusing on these areas to grow as a Full-Stack Engineer and Data Scientist:
- Modern Web Development: Deepening knowledge in TypeScript, Node.js and Next.js for Full-Stack development.
- Security: Learning about DevSecOps practices and tools.
- Languages: Strengthening my foundations in Java (at university).
- Local Winner and Global Nominee of the NASA Space Apps Challenge with the project "AirMood".
- High academic performance at Univates (Impulsiona Scholarship holder).
Although I don't have many valuable projects published here on GitHub yet, that's mainly because I’m taking six courses at university while working ten hours a day, plus commuting. However, I intend to change that in the coming months.
If you liked my profile and want to collaborate or have an opportunity in Data Science, Cloud, or Software Development, feel free to contact me!
📧 How to reach me: [email protected]