felipelmc / machine-learning Goto Github PK

I study Data Science and AI at FGV EMAp and Social Sciences at FGV CPDOC. I was born and raised in Rio de Janeiro, Brazil 🇧🇷, and I'm a proud Carioca.

• ☕ I'm interested in Statistical Modeling, Machine Learning, Deep Learning and Computational Social Sciences
• 👨🏻‍🔬 I'm really into modeling complex phenomena and getting to the bottom of why they happen the way they do
• 📚 I've been studying more about Bayesian statistics and multilevel modeling
• 🎮 Other than that, I'm also into playing video games¹ and (sometimes) exercising

📬 This is my e-mail, if you'd like to reach out: [email protected]. If you prefer to speak face to face, feel free to schedule a chat with me 📆.

Check my Linktree 🔗 or my [concise] [detailed] resume 📄 for more information about my work!

August 06, 2024
I've been accepted into the AI Safety Fundamentals: Governance course, offered by BlueDot Impact. I look forward to deepening my understanding of AI Governance, connecting with others in the field, and contributing to impactful work in AI Safety.

August 01, 2024
I've started a new role as a Teaching Assistant for Quantitative Methods II, under the supervision of Professor Jairo Nicolau, PhD. My goal is to help students from the Social Sciences to learn useful skills for industry, academia, and government, such as programming and statistics.

June 18, 2024
The research project of my undergraduate thesis, titled The determinants of electoral success in legislative elections in Brazil: an approach using Bayesian multilevel models, was approved with full marks. I am deeply grateful to Professors Jaqueline Zulini, PhD and Luiz Max Carvalho, PhD for their outstanding supervision. I'm excited to dive deep into this research!