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I am currently serving as a Lieutenant in the Brazilian Navy.
I combine strong analytical skills with a collaborative work style and keen attention to detail. I previously led the Operations and Electronics Division aboard the Frigate Liberal, where I was responsible for managing and mentoring a team of 32 personnel.
I graduated with Academic Merit honors from the Advanced Electronics Course for Officers (Brazilian Navy), achieving an average grade above 9.5/10.
Since an early age, I have been passionate about Computing. At 15, I discovered a security vulnerability in an open-source software project (CVE-2008-5063), which was later published and recognized by several institutions, including the U.S. National Institute of Standards and Technology (NIST).
I am currently expanding my expertise in Data Science and Artificial Intelligence, with a focus on delivering technically rigorous and high-precision projects.
My academic background includes a Postgraduate degree in Software Engineering, a specialization in Data Science & Big Data Analytics, and a B.Sc. in Computer Science. As part of my education, I also graduated in Naval Sciences with an emphasis on Electronics from the Escola Naval, the Brazilian Navy's higher education institution.
Technical Skills: AI, Python, C/C++, Electronics.
- Data Science:
- Airbnb analysis of Vancouver city 🇨🇦 (Portuguese 🇧🇷)
- Panorama da COVID-19 no Brasil e no Mundo (Portuguese 🇧🇷)
- Detecção de Fraudes em Cartão de Crédito - Machine Learning Models (Portuguese 🇧🇷)
- Churn Prediction para uma Empresa de Telecomunicações (Portuguese 🇧🇷)
- Artificial Intelligence:
- EWAS - Electronic Warfare Autonomous Ship: Computational Vision, Embarked Electronics and a lot more.
- C/C++:
- Radar Clutter Atenuation Calculator: Calcutes how much we should attenuate a radar clutter signal to detect a certain target
- CriptoML: A study proprietary algorithm of criptography developed in C
- Flutter:
- Conversor de Moedas: Mobile App developed using Flutter to convert currencies between BRL, USD and EUR via API. 95% done, will be deployed to Play Store soon.
- Lista de Tarefas: A simple mobile app, using Flutter too, to manage daily to-do lists. 70% done, will be deployed to Play Store soon.
- Python
- Radar Signal Generator
- Blockchain-based Project: A simple blockchain-based system
- ADS-B Stats: A complex tool to receive ADS-B data via RTL-SDR + Raspberry Pi, decode and plot in a local saved map, using Python libraries. As a future feature, I will work on some data science related stuff, using those infos.
- Electronics:
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