Skip to content
View felipelmc's full-sized avatar
🍏
🍏
70 followers · 112 following

Achievements

Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx2

Achievements

Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx2

Highlights

  • Pro

Organizations

@emap2021 @InstitutoRio21
Block or Report

Block or report felipelmc

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
felipelmc/README.md

Hi there! 👋🏼 I'm Felipe Lamarca and...

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 Quantitative Methods applied to Social Sciences, especially Statistical Modeling, Machine Learning, and Deep Learning
  • 👨🏻‍🔬 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 professional resume 📄 for more details!

📰 News

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 and Luiz Max Carvalho for their outstanding supervision. I'm excited to dive deep into this research!

June 18, 2024
I have been accepted to participate in the Summer Institute in Computational Social Sciences, hosted by FGV ECMI, in July 2024. It's an intensive two-week program that offers training in CSS techniques useful for academia, industry, and government.

June 11, 2024
I have been accepted to participate in the next edition of ML4Good, in São Paulo, Brazil, in July 2024. It's a ten-day bootcamp that promotes upskilling in Deep Learning and AI Safety topics.

Footnotes

  1. Big fan of the Assassin's Creed and God of War franchises. Also had much fun playing Hogwarts Legacy 🔮 ↩

Pinned Loading

  1. Machine-Learning Machine-Learning Public

    Repository where I keep all the assignments and the project developed in the scope of the Machine Learning discipline, lectured by Professor Diego Mesquita (FGV EMAp).

    Jupyter Notebook

  2. DataGrid DataGrid Public

    Implementation of search, sorting & selection algorithms to build an efficient datagrid. Project developed within the scope of the Algorithm Design and Analysis discipline, lectured by Professor Th…

    Jupyter Notebook

  3. Deep-Learning Deep-Learning Public

    Assignments and presentation developed in the scope of the Deep Learning discipline, lectured by Professor Dário Oliveira (FGV EMAp). Co-authored with @anacarolerthal.

    Jupyter Notebook

  4. Data-Visualization Data-Visualization Public

    Repository where I keep all the assignments and projects developed in the scope of the Data Visualization discipline, lectured by Professor Jorge Poco (@jpocom) (FGV EMAp).

    Jupyter Notebook

  5. Statistical-Modeling Statistical-Modeling Public

    Projeto para aplicar técnicas de Modelagem Estatística. Case: dinâmica do voto em deputados federais nas eleições de 2022. Disciplina lecionada pelo Professor Luiz Max (@maxbiostat) (FGV EMAp).

    Jupyter Notebook 2

  6. SICSS SICSS Public

    My personal notes and code from the Summer Institute in Computational Social Sciences (SICSS-FGV/ECMI Brazil)